top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Advances in Social Network Mining and Analysis [[electronic resource] ] : Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers / / edited by C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang
Advances in Social Network Mining and Analysis [[electronic resource] ] : Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers / / edited by C. Lee Giles, Marc Smith, John Yen, Haizheng Zhang
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XI, 131 p. 47 illus.)
Disciplina 005.7
Collana Theoretical Computer Science and General Issues
Soggetto topico Application software
Artificial intelligence
Database management
Information storage and retrieval systems
Data mining
Computer networks
Computer and Information Systems Applications
Artificial Intelligence
Database Management
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-642-14929-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study -- Community Detection Using a Measure of Global Influence -- Communication Dynamics of Blog Networks -- Finding Spread Blockers in Dynamic Networks -- Social Network Mining with Nonparametric Relational Models -- Using Friendship Ties and Family Circles for Link Prediction -- Information Theoretic Criteria for Community Detection.
Record Nr. UNINA-9910484538903321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Web-Based Learning - ICWL 2005 [[electronic resource] ] : 4th International Conference, Hong Kong, China, July 31 - August 3, 2005, Proceedings / / edited by Rynson W.H. Lau, Qing Li, Ronnie Cheung, Wenyin Liu
Advances in Web-Based Learning - ICWL 2005 [[electronic resource] ] : 4th International Conference, Hong Kong, China, July 31 - August 3, 2005, Proceedings / / edited by Rynson W.H. Lau, Qing Li, Ronnie Cheung, Wenyin Liu
Edizione [1st ed. 2005.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Descrizione fisica 1 online resource (XIV, 426 p.)
Disciplina 005.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Information organization
Artificial intelligence
User interfaces (Computer systems)
Multimedia information systems
Education - Data processing
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Artificial Intelligence
User Interfaces and Human Computer Interaction
Multimedia Information Systems
Computers and Education
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto e-Learning Platforms and Tools -- A Core Model Supporting Location-Aware Computing in Smart Classroom -- Student Adoption Towards Web-Based Learning Platform -- ALIAS: An Automated Lab Information Administration System -- An Online Template-Based Authoring System for E-Learning -- Design and Implementation of a J2EE-Based Platform for Network Teaching -- A Web-Based Classroom Environment for Enhanced Residential College Education -- Adaptive Internet Interactive Team Video -- A Prototype of the Web-Based Marine Training Environment -- P2P Video Synchronization in a Collaborative Virtual Environment -- Virtual Experiment Services -- Learning Resource Deployment, Organization and Management -- Designing a Learning Objects Repository -The Views of Higher Education Faculty -- A Novel Resource Recommendation System Based on Connecting to Similar E-Learners -- MECCA-Learn: A Community Based Collaborative Course Management System for Media-Rich Curricula in the Film Studies -- Building Learning Management Systems Using IMS Standards: Architecture of a Manifest Driven Approach -- Constructing a SCORM-Compliant Intelligent Strategy Repository -- Effortless Construction and Management of Program Animations on the Web -- Practice and Experience Sharing -- Student Centered Knowledge Level Analysis for eLearning for SQL -- Web-Based Chinese Calligraphy Retrieval and Learning System -- Computer-Assisted Item Generation for Listening Cloze Tests and Dictation Practice in English -- The Gong System: Web-Based Learning for Multiple Languages, with Special Support for the Yale Representation of Cantonese -- A Novel Multi-agent Community Building Scheme Based on Collaboration Filtering -- Semantic Caching for Web Based Learning Systems -- An Approach to Acquire Semantic Relationships Between Words from Web Document -- Grounding Collaborative Knowledge Building in Semantics-Based Critiquing -- Real-Time Adaptive Human Motions for Web-Based Training -- Experiences in Using an Automated System for Improving Students’ Learning of Computer Programming -- Automatic Leveling System for E-Learning Examination Pool Using Entropy-Based Decision Tree -- A Web-Based Environment to Improve Teaching and Learning of Computer Programming in Distance Education -- The Design and Implementation of Digital Signal Processing Virtual Lab Based on Components -- A Design for Generating Personalised Feedback in Knowledge Construction -- Refining the Results of Automatic e-Textbook Construction by Clustering -- ANTS: Agent-Based Navigational Training System -- An Educational Virtual Environment for Studying Physics Concept in High Schools -- Mobile e-Learning -- Mobile learning with Cellphones and PocketPCs -- A Novel Mobile Learning Assistant System -- Context-Sensitive Content Representation for Mobile Learning -- Pedagogical Issues -- Managing Student Expectations Online -- Collaborative Virtual Learning Environment Using Synthetic Characters -- Devising a Typology of LOs Based on Pedagogical Assumptions -- Using Web Based Answer Hunting System to Promote Collaborative Learning -- The Impact of E-Learning on the Use of Campus Instructional Space -- The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment.
Record Nr. UNINA-9910483593003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Web-Based Learning - ICWL 2005 [[electronic resource] ] : 4th International Conference, Hong Kong, China, July 31 - August 3, 2005, Proceedings / / edited by Rynson W.H. Lau, Qing Li, Ronnie Cheung, Wenyin Liu
Advances in Web-Based Learning - ICWL 2005 [[electronic resource] ] : 4th International Conference, Hong Kong, China, July 31 - August 3, 2005, Proceedings / / edited by Rynson W.H. Lau, Qing Li, Ronnie Cheung, Wenyin Liu
Edizione [1st ed. 2005.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Descrizione fisica 1 online resource (XIV, 426 p.)
Disciplina 005.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Information organization
Artificial intelligence
User interfaces (Computer systems)
Multimedia information systems
Education - Data processing
Information Systems Applications (incl. Internet)
Information Storage and Retrieval
Artificial Intelligence
User Interfaces and Human Computer Interaction
Multimedia Information Systems
Computers and Education
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto e-Learning Platforms and Tools -- A Core Model Supporting Location-Aware Computing in Smart Classroom -- Student Adoption Towards Web-Based Learning Platform -- ALIAS: An Automated Lab Information Administration System -- An Online Template-Based Authoring System for E-Learning -- Design and Implementation of a J2EE-Based Platform for Network Teaching -- A Web-Based Classroom Environment for Enhanced Residential College Education -- Adaptive Internet Interactive Team Video -- A Prototype of the Web-Based Marine Training Environment -- P2P Video Synchronization in a Collaborative Virtual Environment -- Virtual Experiment Services -- Learning Resource Deployment, Organization and Management -- Designing a Learning Objects Repository -The Views of Higher Education Faculty -- A Novel Resource Recommendation System Based on Connecting to Similar E-Learners -- MECCA-Learn: A Community Based Collaborative Course Management System for Media-Rich Curricula in the Film Studies -- Building Learning Management Systems Using IMS Standards: Architecture of a Manifest Driven Approach -- Constructing a SCORM-Compliant Intelligent Strategy Repository -- Effortless Construction and Management of Program Animations on the Web -- Practice and Experience Sharing -- Student Centered Knowledge Level Analysis for eLearning for SQL -- Web-Based Chinese Calligraphy Retrieval and Learning System -- Computer-Assisted Item Generation for Listening Cloze Tests and Dictation Practice in English -- The Gong System: Web-Based Learning for Multiple Languages, with Special Support for the Yale Representation of Cantonese -- A Novel Multi-agent Community Building Scheme Based on Collaboration Filtering -- Semantic Caching for Web Based Learning Systems -- An Approach to Acquire Semantic Relationships Between Words from Web Document -- Grounding Collaborative Knowledge Building in Semantics-Based Critiquing -- Real-Time Adaptive Human Motions for Web-Based Training -- Experiences in Using an Automated System for Improving Students’ Learning of Computer Programming -- Automatic Leveling System for E-Learning Examination Pool Using Entropy-Based Decision Tree -- A Web-Based Environment to Improve Teaching and Learning of Computer Programming in Distance Education -- The Design and Implementation of Digital Signal Processing Virtual Lab Based on Components -- A Design for Generating Personalised Feedback in Knowledge Construction -- Refining the Results of Automatic e-Textbook Construction by Clustering -- ANTS: Agent-Based Navigational Training System -- An Educational Virtual Environment for Studying Physics Concept in High Schools -- Mobile e-Learning -- Mobile learning with Cellphones and PocketPCs -- A Novel Mobile Learning Assistant System -- Context-Sensitive Content Representation for Mobile Learning -- Pedagogical Issues -- Managing Student Expectations Online -- Collaborative Virtual Learning Environment Using Synthetic Characters -- Devising a Typology of LOs Based on Pedagogical Assumptions -- Using Web Based Answer Hunting System to Promote Collaborative Learning -- The Impact of E-Learning on the Use of Campus Instructional Space -- The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment.
Record Nr. UNISA-996465782803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Adventures in Unix Network applications programming / Bill Rieken, Lyle Weiman
Adventures in Unix Network applications programming / Bill Rieken, Lyle Weiman
Autore Rieken, Bill
Pubbl/distr/stampa New York [etc.], : J. Wiley, c1992
Descrizione fisica XV, 448 p. ; 24 cm
Disciplina 005.7
005.711
Altri autori (Persone) Weiman, Lyle
Collana Wiley professional computing
Soggetto topico Reti di elaboratori
ELABORATORI ELETTRONICI - Sistema operativo UNIX
ISBN 0471528587
0471528595
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-PUV0110750
Rieken, Bill  
New York [etc.], : J. Wiley, c1992
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui
Agile in der Unternehmenspraxis [[electronic resource] ] : Fallstricke erkennen und vermeiden, Potenziale heben / / von Inge Hanschke
Agile in der Unternehmenspraxis [[electronic resource] ] : Fallstricke erkennen und vermeiden, Potenziale heben / / von Inge Hanschke
Autore Hanschke Inge
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2017
Descrizione fisica 1 online resource (VI, 130 S. 31 Abb.)
Disciplina 005.7
Soggetto topico Computers
Information technology
Business—Data processing
Leadership
Project management
Software engineering
Information Systems and Communication Service
IT in Business
Business Strategy/Leadership
Project Management
Software Engineering/Programming and Operating Systems
ISBN 3-658-19158-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Agile im Überblick -- Produkt-Owner -- Kunden im agilen Demand Management -- Agile Planung in Projekten -- Agile in hierarchischen Unternehmen -- Mit Agile & Lean zum Erfolg.
Record Nr. UNINA-9910483894303321
Hanschke Inge  
Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algebraic approach to data processing : techniques and applications / / Julio C. Urenda and Vladik Kreinovich
Algebraic approach to data processing : techniques and applications / / Julio C. Urenda and Vladik Kreinovich
Autore Urenda Julio C.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (246 pages)
Disciplina 005.7
Collana Studies in big data
Soggetto topico Big data
Computational intelligence
Computer science - Mathematics
ISBN 3-031-16780-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 Introduction -- 1.1 What Is Data Processing and Why Do We Need It? -- 1.2 Why Algebraic Approach? -- 1.3 What We Do in This Book: An Overview -- 1.4 Thanks -- References -- 2 What Are the Most Natural and the Most Frequent Transformations -- 2.1 Main Idea: Numerical Values Change When We Change a Measuring Unit and/or Starting Point -- 2.2 Scaling Transformations -- 2.3 Shifts -- 2.4 Linear Transformations -- 2.5 Geometric Transformations -- 2.6 Beyond Linear Transformations -- 2.7 Permutations -- References -- 3 Which Functions and Which Families of Functions Are Invariant -- 3.1 Why Do We Need Invariant Functions -- 3.2 What Does It Mean for a Function to Be Invariant -- 3.3 Example: Scale-Invariant Functions of One Variable -- 3.4 What If We Have Both Shift- and Scale-Invariance? -- 3.5 Which Families of Functions Are Invariant: Case of Shift-Invariance -- 3.6 Which Families of Functions Are Invariant: Case of Scale-Invariance -- 3.7 What If We Have Both Shift- and Scale-Invariance -- 3.8 Which Linear Transformations Are Shift-Invariant -- References -- 4 What Is the General Relation Between Invariance and Optimality -- 4.1 What Is an Optimality Criterion -- 4.2 We Need a Final Optimality Criterion -- 4.3 It Is Often Reasonable to Require That the Optimality Criterion Be Invariant -- 4.4 Main Result of This Chapter -- 5 General Application: Dynamical Systems -- 5.1 Problem: Why a Linear-Based Classification Often Works in Nonlinear Cases -- 5.2 Our Explanation -- References -- 6 First Application to Physics: Why Liquids? -- 6.1 Two Applications to Physics: Summary -- 6.2 Problem: Why Liquids? -- 6.3 Towards a Formulation of the Problem in Precise Terms -- 6.4 Main Result of This Chapter -- References -- 7 Second Application to Physics: Warping of Our Galaxy -- 7.1 Formulation of the Problem.
7.2 Analysis of the Problem and the Resulting Explanation -- References -- 8 Application to Electrical Engineering: Class-D Audio Amplifiers -- 8.1 Applications to Engineering: Summary -- 8.2 Problem: Why Class-D Audio Amplifiers Work Well? -- 8.3 Why Pulses -- 8.4 Why the Pulse's Duration Should Linearly Depend … -- References -- 9 Application to Mechanical Engineering: Wood Structures -- 9.1 Problem: Need for a Theoretical Explanation of an Empirical Fact -- 9.2 Our Explanation: Main Idea -- 9.3 Our Explanation: Details -- 9.4 Proof -- References -- 10 Medical Application: Prevention -- 10.1 Problem: How to Best Maintain Social Distance -- 10.2 Towards Formulating This Problem in Precise Terms -- 10.3 Solution -- Reference -- 11 Medical Application: Testing -- 11.1 Problem: Optimal Group Testing -- 11.2 What Was Proposed -- 11.3 Resulting Problem -- 11.4 Let Us Formulate This Problem in Precise Terms -- 11.5 Solution -- References -- 12 Medical Application: Diagnostics, Part 1 -- 12.1 Problem: Diagnosing Lung Disfunctions in Children -- 12.2 First Pre-processing Stage: Scale-Invariant Smoothing -- 12.3 Which Order Polynomials Should We Use? -- 12.4 Second Pre-processing Stage: Using the Approximating Polynomials to Distinguish Between Different Diseases -- 12.5 Third Pre-processing Stage: Scale-Invariant Similarity/Dissimilarity Measures -- 12.6 How to Select α: Need to Have Efficient and Robust Estimates -- 12.7 Scale-Invariance Helps to Take Into Account That Signal Informativeness Decreases with Time -- 12.8 Pre-processing Summarized: What Information Serves as An Input to a Neural Network -- 12.9 The Results of Training Neural Networks on These Pre-processed Data -- References -- 13 Medical Application: Diagnostics, Part 2 -- 13.1 Problem: Why Hierarchical Multiclass Classification Works Better Than Direct Classification -- 13.2 Our Explanation.
References -- 14 Medical Application: Diagnostics, Part 3 -- 14.1 Problem: Which Fourier Components Are Most Informative -- 14.2 Main Idea -- 14.3 First Case Study: Human Color Vision -- 14.4 Second Case Study: Classifying Lung Dysfunctions -- References -- 15 Medical Application: Treatment -- 15.1 Problem: Geometric Aspects of Wound Healing -- 15.2 What Are Natural Symmetries Here and What Are the Resulting Cell Shapes: Case of Undamaged Skin -- 15.3 What If the Skin Is Damaged: Resulting Symmetries and Cell Shapes -- 15.4 Geometric Symmetries Also Explain Observed Cell Motions -- References -- 16 Applications to Economics: How Do People Make Decisions, Part 1 -- References -- 17 Application to Economics: How Do People Make Decisions, Part 2 -- 17.1 Problem: Need to Consider Multiple Scenarios -- 17.2 Our Explanation -- References -- 18 Application to Economics: How Do People Make Decisions, Part 3 -- 18.1 Problem: Using Experts -- 18.2 Towards an Explanation -- References -- 19 Application to Economics: How Do People Make Decisions, Part 4 -- 19.1 Why Should We Play Down Emotions -- 19.2 Towards Explanation -- References -- 20 Application to Economics: Stimuli, Part 1 -- 20.1 Problem: Why Rewards Work Better Than Punishment -- 20.2 Analysis of the Problem -- 20.3 Our Explanation -- References -- 21 Application to Economics: Stimuli, Part 2 -- 21.1 Problem: Why Top Experts Are Paid So Much -- 21.2 Our Explanation -- References -- 22 Application to Economics: Investment -- 22.1 1/n Investment: Formulation of the Problem -- 22.2 Our Explanation -- 22.3 Discussion -- References -- 23 Application to Social Sciences: When Revolutions Happen -- 23.1 Formulation of the Problem -- 23.2 Analysis of the Problem -- References -- 24 Application to Education: General -- 24.1 Problem: Is Immediate Repetition Good for Learning?.
24.2 Analysis of the Problem and the Resulting Explanation -- References -- 25 Application to Education: Specific -- 25.1 Problem: Why Derivative -- 25.2 Invariance Naturally Leads to the Derivative -- Reference -- 26 Application to Mathematics: Why Necessary Conditions Are Often Sufficient -- 26.1 Formulation of the Problem -- 26.2 Analysis of the Problem -- 26.3 How Can We Formalize What Is Not Abnormal -- 26.4 Resulting Explanation of the TONCAS Phenomenon -- References -- 27 Data Processing: Neural Techniques, Part 1 -- 27.1 Machine Learning Is Needed to Analyze Complex Systems -- 27.2 Neural Networks and Deep Learning: A Brief Reminder -- 27.3 Why Traditional Neural Networks -- 27.4 Why Sigmoid Activation Function: Idea -- 27.5 Why Sigmoid-Derivation -- 27.6 Limit Cases -- 27.7 We Need Multi-layer Neural Networks -- 27.8 Which Activation Function Should We Use -- 27.9 This Leads Exactly to Squashing Functions -- 27.10 Why Rectified Linear Functions -- References -- 28 Data Processing: Neural Techniques, Part 2 -- 28.1 Problem: Spiking Neural Networks -- 28.2 Analysis of the Problem and the First Result -- 28.3 Main Result: Spikes Are, in Some Reasonable Sense, Optimal -- References -- 29 Data Processing: Fuzzy Techniques, Part 1 -- 29.1 Why Fuzzy Techniques -- 29.2 Fuzzy Techniques: Main Ideas -- 29.3 Fuzzy Techniques: Logic -- References -- 30 Data Processing: Neural and Fuzzy Techniques -- 30.1 Problem: Computations Should Be Fast and Understandable -- 30.2 Definitions and the Main Results -- 30.3 Auxiliary Result: What Can We Do with Two-Layer Networks -- References -- 31 Data Processing: Fuzzy Techniques, Part 2 -- 31.1 Problem: Which Fuzzy Techniques to Use? -- 31.2 Analysis of the Problem -- 31.3 Which Symmetric Membership Functions Should We … -- 31.4 Which Hedge Operations and Negation Operations Should We Select -- 31.5 Proofs.
References -- 32 Data Processing: Fuzzy Techniques, Part 3 -- 32.1 Problem: Which Fuzzy Degrees to Use? -- 32.2 Definitions and the Main Result -- 32.3 How General Is This Result? -- 32.4 What If We Allow Unlimited Number of ``And''-Operations and Negations: Case Study -- References -- 33 Data Processing: Fuzzy Techniques, Part 4 -- 33.1 Problem: How to Explain Commonsense Reasoning -- 33.2 Our Explanation -- 33.3 Auxiliary Result: Why the Usual Quantifiers? -- References -- 34 Data Processing: Probabilistic Techniques, Part 1 -- 34.1 Problem: How to Represent Interval Uncertainty -- 34.2 Analysis of the Problem -- 34.3 Our Results -- References -- 35 Data Processing: Probabilistic Techniques, Part 2 -- 35.1 Problem: How to Represent General Uncertainty -- 35.2 Definitions and the Main Result -- 35.3 Consequence -- References -- 36 Data Processing: Probabilistic Techniques, Part 3 -- 36.1 Problem: Experts Don't Perform Well in Unusual Situations -- 36.2 Our Explanation -- References -- 37 Data Processing: Beyond Traditional Techniques -- 37.1 DNA Computing: Introduction -- 37.2 Computing Without Computing-Quantum Version: A Brief Reminder -- 37.3 Computing Without Computing-Version Involving Acausal Processes: A Reminder -- 37.4 Computing Without Computing-DNA Version -- 37.5 DNA Computing Without Computing Is Somewhat Less … -- 37.6 First Related Result: Security Is More Difficult to Achieve than Privacy -- 37.7 Second Related Result: Data Storage Is More Difficult Than Data Transmission -- References -- Appendix References -- -- Index.
Record Nr. UNISA-996495562903316
Urenda Julio C.  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Algebraic approach to data processing : techniques and applications / / Julio C. Urenda and Vladik Kreinovich
Algebraic approach to data processing : techniques and applications / / Julio C. Urenda and Vladik Kreinovich
Autore Urenda Julio C.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (246 pages)
Disciplina 005.7
Collana Studies in big data
Soggetto topico Big data
Computational intelligence
Computer science - Mathematics
ISBN 3-031-16780-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 Introduction -- 1.1 What Is Data Processing and Why Do We Need It? -- 1.2 Why Algebraic Approach? -- 1.3 What We Do in This Book: An Overview -- 1.4 Thanks -- References -- 2 What Are the Most Natural and the Most Frequent Transformations -- 2.1 Main Idea: Numerical Values Change When We Change a Measuring Unit and/or Starting Point -- 2.2 Scaling Transformations -- 2.3 Shifts -- 2.4 Linear Transformations -- 2.5 Geometric Transformations -- 2.6 Beyond Linear Transformations -- 2.7 Permutations -- References -- 3 Which Functions and Which Families of Functions Are Invariant -- 3.1 Why Do We Need Invariant Functions -- 3.2 What Does It Mean for a Function to Be Invariant -- 3.3 Example: Scale-Invariant Functions of One Variable -- 3.4 What If We Have Both Shift- and Scale-Invariance? -- 3.5 Which Families of Functions Are Invariant: Case of Shift-Invariance -- 3.6 Which Families of Functions Are Invariant: Case of Scale-Invariance -- 3.7 What If We Have Both Shift- and Scale-Invariance -- 3.8 Which Linear Transformations Are Shift-Invariant -- References -- 4 What Is the General Relation Between Invariance and Optimality -- 4.1 What Is an Optimality Criterion -- 4.2 We Need a Final Optimality Criterion -- 4.3 It Is Often Reasonable to Require That the Optimality Criterion Be Invariant -- 4.4 Main Result of This Chapter -- 5 General Application: Dynamical Systems -- 5.1 Problem: Why a Linear-Based Classification Often Works in Nonlinear Cases -- 5.2 Our Explanation -- References -- 6 First Application to Physics: Why Liquids? -- 6.1 Two Applications to Physics: Summary -- 6.2 Problem: Why Liquids? -- 6.3 Towards a Formulation of the Problem in Precise Terms -- 6.4 Main Result of This Chapter -- References -- 7 Second Application to Physics: Warping of Our Galaxy -- 7.1 Formulation of the Problem.
7.2 Analysis of the Problem and the Resulting Explanation -- References -- 8 Application to Electrical Engineering: Class-D Audio Amplifiers -- 8.1 Applications to Engineering: Summary -- 8.2 Problem: Why Class-D Audio Amplifiers Work Well? -- 8.3 Why Pulses -- 8.4 Why the Pulse's Duration Should Linearly Depend … -- References -- 9 Application to Mechanical Engineering: Wood Structures -- 9.1 Problem: Need for a Theoretical Explanation of an Empirical Fact -- 9.2 Our Explanation: Main Idea -- 9.3 Our Explanation: Details -- 9.4 Proof -- References -- 10 Medical Application: Prevention -- 10.1 Problem: How to Best Maintain Social Distance -- 10.2 Towards Formulating This Problem in Precise Terms -- 10.3 Solution -- Reference -- 11 Medical Application: Testing -- 11.1 Problem: Optimal Group Testing -- 11.2 What Was Proposed -- 11.3 Resulting Problem -- 11.4 Let Us Formulate This Problem in Precise Terms -- 11.5 Solution -- References -- 12 Medical Application: Diagnostics, Part 1 -- 12.1 Problem: Diagnosing Lung Disfunctions in Children -- 12.2 First Pre-processing Stage: Scale-Invariant Smoothing -- 12.3 Which Order Polynomials Should We Use? -- 12.4 Second Pre-processing Stage: Using the Approximating Polynomials to Distinguish Between Different Diseases -- 12.5 Third Pre-processing Stage: Scale-Invariant Similarity/Dissimilarity Measures -- 12.6 How to Select α: Need to Have Efficient and Robust Estimates -- 12.7 Scale-Invariance Helps to Take Into Account That Signal Informativeness Decreases with Time -- 12.8 Pre-processing Summarized: What Information Serves as An Input to a Neural Network -- 12.9 The Results of Training Neural Networks on These Pre-processed Data -- References -- 13 Medical Application: Diagnostics, Part 2 -- 13.1 Problem: Why Hierarchical Multiclass Classification Works Better Than Direct Classification -- 13.2 Our Explanation.
References -- 14 Medical Application: Diagnostics, Part 3 -- 14.1 Problem: Which Fourier Components Are Most Informative -- 14.2 Main Idea -- 14.3 First Case Study: Human Color Vision -- 14.4 Second Case Study: Classifying Lung Dysfunctions -- References -- 15 Medical Application: Treatment -- 15.1 Problem: Geometric Aspects of Wound Healing -- 15.2 What Are Natural Symmetries Here and What Are the Resulting Cell Shapes: Case of Undamaged Skin -- 15.3 What If the Skin Is Damaged: Resulting Symmetries and Cell Shapes -- 15.4 Geometric Symmetries Also Explain Observed Cell Motions -- References -- 16 Applications to Economics: How Do People Make Decisions, Part 1 -- References -- 17 Application to Economics: How Do People Make Decisions, Part 2 -- 17.1 Problem: Need to Consider Multiple Scenarios -- 17.2 Our Explanation -- References -- 18 Application to Economics: How Do People Make Decisions, Part 3 -- 18.1 Problem: Using Experts -- 18.2 Towards an Explanation -- References -- 19 Application to Economics: How Do People Make Decisions, Part 4 -- 19.1 Why Should We Play Down Emotions -- 19.2 Towards Explanation -- References -- 20 Application to Economics: Stimuli, Part 1 -- 20.1 Problem: Why Rewards Work Better Than Punishment -- 20.2 Analysis of the Problem -- 20.3 Our Explanation -- References -- 21 Application to Economics: Stimuli, Part 2 -- 21.1 Problem: Why Top Experts Are Paid So Much -- 21.2 Our Explanation -- References -- 22 Application to Economics: Investment -- 22.1 1/n Investment: Formulation of the Problem -- 22.2 Our Explanation -- 22.3 Discussion -- References -- 23 Application to Social Sciences: When Revolutions Happen -- 23.1 Formulation of the Problem -- 23.2 Analysis of the Problem -- References -- 24 Application to Education: General -- 24.1 Problem: Is Immediate Repetition Good for Learning?.
24.2 Analysis of the Problem and the Resulting Explanation -- References -- 25 Application to Education: Specific -- 25.1 Problem: Why Derivative -- 25.2 Invariance Naturally Leads to the Derivative -- Reference -- 26 Application to Mathematics: Why Necessary Conditions Are Often Sufficient -- 26.1 Formulation of the Problem -- 26.2 Analysis of the Problem -- 26.3 How Can We Formalize What Is Not Abnormal -- 26.4 Resulting Explanation of the TONCAS Phenomenon -- References -- 27 Data Processing: Neural Techniques, Part 1 -- 27.1 Machine Learning Is Needed to Analyze Complex Systems -- 27.2 Neural Networks and Deep Learning: A Brief Reminder -- 27.3 Why Traditional Neural Networks -- 27.4 Why Sigmoid Activation Function: Idea -- 27.5 Why Sigmoid-Derivation -- 27.6 Limit Cases -- 27.7 We Need Multi-layer Neural Networks -- 27.8 Which Activation Function Should We Use -- 27.9 This Leads Exactly to Squashing Functions -- 27.10 Why Rectified Linear Functions -- References -- 28 Data Processing: Neural Techniques, Part 2 -- 28.1 Problem: Spiking Neural Networks -- 28.2 Analysis of the Problem and the First Result -- 28.3 Main Result: Spikes Are, in Some Reasonable Sense, Optimal -- References -- 29 Data Processing: Fuzzy Techniques, Part 1 -- 29.1 Why Fuzzy Techniques -- 29.2 Fuzzy Techniques: Main Ideas -- 29.3 Fuzzy Techniques: Logic -- References -- 30 Data Processing: Neural and Fuzzy Techniques -- 30.1 Problem: Computations Should Be Fast and Understandable -- 30.2 Definitions and the Main Results -- 30.3 Auxiliary Result: What Can We Do with Two-Layer Networks -- References -- 31 Data Processing: Fuzzy Techniques, Part 2 -- 31.1 Problem: Which Fuzzy Techniques to Use? -- 31.2 Analysis of the Problem -- 31.3 Which Symmetric Membership Functions Should We … -- 31.4 Which Hedge Operations and Negation Operations Should We Select -- 31.5 Proofs.
References -- 32 Data Processing: Fuzzy Techniques, Part 3 -- 32.1 Problem: Which Fuzzy Degrees to Use? -- 32.2 Definitions and the Main Result -- 32.3 How General Is This Result? -- 32.4 What If We Allow Unlimited Number of ``And''-Operations and Negations: Case Study -- References -- 33 Data Processing: Fuzzy Techniques, Part 4 -- 33.1 Problem: How to Explain Commonsense Reasoning -- 33.2 Our Explanation -- 33.3 Auxiliary Result: Why the Usual Quantifiers? -- References -- 34 Data Processing: Probabilistic Techniques, Part 1 -- 34.1 Problem: How to Represent Interval Uncertainty -- 34.2 Analysis of the Problem -- 34.3 Our Results -- References -- 35 Data Processing: Probabilistic Techniques, Part 2 -- 35.1 Problem: How to Represent General Uncertainty -- 35.2 Definitions and the Main Result -- 35.3 Consequence -- References -- 36 Data Processing: Probabilistic Techniques, Part 3 -- 36.1 Problem: Experts Don't Perform Well in Unusual Situations -- 36.2 Our Explanation -- References -- 37 Data Processing: Beyond Traditional Techniques -- 37.1 DNA Computing: Introduction -- 37.2 Computing Without Computing-Quantum Version: A Brief Reminder -- 37.3 Computing Without Computing-Version Involving Acausal Processes: A Reminder -- 37.4 Computing Without Computing-DNA Version -- 37.5 DNA Computing Without Computing Is Somewhat Less … -- 37.6 First Related Result: Security Is More Difficult to Achieve than Privacy -- 37.7 Second Related Result: Data Storage Is More Difficult Than Data Transmission -- References -- Appendix References -- -- Index.
Record Nr. UNINA-9910617307203321
Urenda Julio C.  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algebraic specification / edited by J. A. Bergstra, J. Heering, P. Klint
Algebraic specification / edited by J. A. Bergstra, J. Heering, P. Klint
Pubbl/distr/stampa New York, : ACM press
Descrizione fisica XIII, 397 p. ; 24 cm
Disciplina 005.7
Collana ACM press frontier series
ISBN 0201416352
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-AQ10008789
New York, : ACM press
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui
Algorithms and data structures : design, correctness, analysis / Jeffrey H. Kingston
Algorithms and data structures : design, correctness, analysis / Jeffrey H. Kingston
Autore Kingston, Jeffrey H.
Pubbl/distr/stampa Sydney [etc.], : Addison-Wesley, 1990
Descrizione fisica IX, 315 p. ; 24 cm
Disciplina 005.7
005.73
Collana International computer science series
Soggetto topico Archivi di dati - Struttura
Algoritmi
ISBN 0201417057
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-PUV0078011
Kingston, Jeffrey H.  
Sydney [etc.], : Addison-Wesley, 1990
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui
Algorithms and data structures : third workshop, WADS '93 : Montreal, Canada, August 11-13, 1993 : proceedings / Frank Dehne ... [et al.] (eds.)
Algorithms and data structures : third workshop, WADS '93 : Montreal, Canada, August 11-13, 1993 : proceedings / Frank Dehne ... [et al.] (eds.)
Autore Workshop on algorithms and data structures : <3. : ; 1993
Pubbl/distr/stampa Berlin [etc.], : Springer, 1993
Descrizione fisica XII, 633 p. ; 25 cm
Disciplina 005.7
005.73
Collana Lecture notes in computer science
Soggetto topico Archivi di dati - Struttura - Congressi - 1993
Algoritmi - Congressi - 1993
ISBN 0387571558
3540571558
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-AQ10003080
Workshop on algorithms and data structures : <3. : ; 1993  
Berlin [etc.], : Springer, 1993
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui

Formato

Livello bibliografico

Autore (Persona)

Altro...

Autore (Ente)

Autore (Convegno)

Opere

Altro...

Pubbl/distr/stampa

Altro...

Lingua di pubblicazione

Altro...

Data

Data di pubblicazione

Altro...

Soggetto (Persona)

Soggetto (Ente)

Soggetto (Convegno)

Soggetto geografico

Soggetto topico

Altro...

Soggetto genere / forma

Altro...