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Engines of Order : A Mechanology of Algorithmic Techniques
Engines of Order : A Mechanology of Algorithmic Techniques
Autore Rieder Bernhard
Pubbl/distr/stampa Amsterdam, : Amsterdam University Press, 2020
Descrizione fisica 1 online resource (353 p.)
Collana Recursions
Soggetto topico Algorithms & data structures
Information architecture
Media studies
Soggetto non controllato algorithms & data structures
information architecture
media studies
ISBN 1-04-077749-X
1-003-69478-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Engines of Order
Record Nr. UNINA-9910557184803321
Rieder Bernhard  
Amsterdam, : Amsterdam University Press, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464443103316
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Classificazione COM004000COM018000COM021030COM031000COM073000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482868303321
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Matching minors in bipartite graphs
Matching minors in bipartite graphs
Autore Wiederrecht Sebastian
Pubbl/distr/stampa Berlin, : Universitätsverlag der Technischen Universität Berlin, 2022
Descrizione fisica 1 electronic resource (476 p.)
Collana Foundations of computing
Soggetto topico Algorithms & data structures
Soggetto non controllato matching minor; structural graph theory; bipartite; perfect matching
ISBN 3-7983-3253-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910582201003321
Wiederrecht Sebastian  
Berlin, : Universitätsverlag der Technischen Universität Berlin, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Special Topics in Information Technology
Special Topics in Information Technology
Autore Geraci Angelo
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (150 pages)
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Communications engineering / telecommunications
Automatic control engineering
Algorithms & data structures
Soggetto non controllato Communications Engineering, Networks
Control and Systems Theory
Data Structures and Information Theory
Information Technology
PhD Springer Award
Politecnico DEIB
Polimi PhD School
artificial intelligence
computer system architectures
Telecommunications
Open access
Communications engineering / telecommunications
Automatic control engineering
Algorithms & data structures
Information theory
ISBN 3-030-62476-5
Classificazione COM031000TEC004000TEC041000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part ITelecommunications -- 1 Machine-Learning Defined Networking: Towards Intelligent Networks -- 1.1 Introduction -- 1.2 Network Traffic Prediction -- 1.3 Network Traffic Pattern Identification -- 1.4 Reinforcement Learning for Adaptive Network Resource Allocation -- 1.5 Implementation of Machine Learning in Real SDN/NFV Testbeds -- 1.6 Concluding Remarks -- References -- 2 Traffic Management in Networks with Programmable Data Planes -- 2.1 Software-Defined Networks (SDN) -- 2.2 Control Plane Programmability -- 2.2.1 Traffic Engineering Framework -- 2.2.2 ONOS Intent Monitor and Reroute Service -- 2.3 Data Plane Programmability -- 2.3.1 Network Failures -- 2.3.2 Network Congestion -- 2.4 Conclusions -- References -- Part IIElectronics -- 3 Frequency Synthesizers Based on Fast-Locking Bang-Bang PLL for Cellular Applications -- 3.1 Introduction -- 3.2 Digital PLL: Output Phase Noise and Locking Transient -- 3.3 Multi-loop Architecture for Fast Locking Transient -- 3.4 Measurement results -- 3.5 Conclusions -- References -- 4 Inductorless Frequency Synthesizers for Low-Cost Wireless -- 4.1 Introduction -- 4.2 Fractional-N MDLLs -- 4.3 Jitter-Power Tradeoff Analysis -- 4.4 DTC Range-Reduction Technique -- 4.5 Implemented Architecture -- 4.6 Measurement Results -- 4.7 Conclusion -- References -- 5 Characterization and Modeling of Spin-Transfer Torque (STT) Magnetic Memory for Computing Applications -- 5.1 Introduction -- 5.2 Spin-Transfer Torque Magnetic Memory (STT-MRAM) -- 5.3 Understanding Dielectric Breakdown-Limited Cycling Endurance -- 5.4 Modeling Stochastic Switching in STT-MRAM -- 5.5 Stochastic STT Switching for Security and Computing -- 5.6 Conclusions -- References -- 6 One Step in-Memory Solution of Inverse Algebraic Problems -- 6.1 Introduction -- 6.2 In Memory Computing.
6.3 In-Memory Matrix-Vector-Multiplication Accelerator -- 6.4 One Step in-Memory Solution of Inverse Algebraic Problems -- 6.4.1 In-Memory Solution of Linear Systems in One-Step -- 6.4.2 In-Memory Eigenvectors Calculation in One-Step -- 6.4.3 In-Memory Regression and Classification in One-Step -- 6.5 Conclusions -- References -- 7 Development of a 3'' LaBr3 SiPM-Based Detection Module for High Resolution Gamma Ray Spectroscopy and Imaging -- 7.1 Introduction -- 7.2 Development -- References -- Part IIIComputer Science and Engineering -- 8 Velocity on the Web -- 8.1 Introduction -- 8.2 Background -- 8.3 Problem Statement -- 8.4 Major Results -- 8.5 Conclusion -- References -- 9 Preplay Communication in Multi-Player Sequential Games: An Overview of Recent Results -- 9.1 Introduction -- 9.1.1 Motivating Example -- 9.1.2 Sequential Games with Imperfect Information -- 9.1.3 Preplay Communication -- 9.2 Adversarial Team Games -- 9.3 Correlated Equilibria in Sequential Games -- 9.4 Bayesian Persuasion with Sequential Games -- 9.5 Discussion and Future Research -- References -- Part IVSystems and Control -- 10 Leadership Games: Multiple Followers, Multiple Leaders, and Perfection -- 10.1 Introduction -- 10.2 The Stackelberg Paradigm -- 10.3 Stackelberg Games with Multiple Followers -- 10.3.1 Norma-Form Stackelberg Games -- 10.3.2 Stackelberg Polymatrix Games -- 10.3.3 Stackelberg Congestion Games -- 10.4 Stackelberg Games with Multiple Leaders -- 10.5 Trembling-Hand Perfection in Stackelberg Games -- References -- 11 Advancing Joint Design and Operation of Water Resources Systems Under Uncertainty -- 11.1 Introduction -- 11.1.1 Research Challenges -- 11.2 Reinforcement Learning for Designing Water Reservoirs -- 11.2.1 pFQI Algorithm -- 11.2.2 Comparison with Traditional Least Cost Dam Design -- 11.3 A Novel Robust Assessment Framework.
11.3.1 Methodological Approach -- 11.3.2 Assessing Robustness of Alternatives for Changing Demands and Hydrology -- 11.4 Conclusions -- References -- 12 Optimization-Based Control of Microgrids for Ancillary Services Provision and Islanded Operation -- 12.1 Introduction -- 12.2 Microgrids Aggregators Providing Ancillary Services -- 12.2.1 Offline Economic Dispatch and Power Reserve Procurement -- 12.2.2 Online External Provision of Ancillary Services -- 12.2.3 Real-Time Self-balancing of Internal Power Uncertainties -- 12.3 Hierarchical Model Predictive Control Architectures for Islanded Microgrids -- 12.4 Conclusions -- References -- 13 Allowing a Real Collaboration Between Humans and Robots -- 13.1 Introduction -- 13.2 Recognizing the Human Actions -- 13.3 Predicting the Human Actions -- 13.4 Assistive Scheduling -- 13.5 Results -- 13.6 Conclusions -- References.
Record Nr. UNINA-9910473458303321
Geraci Angelo  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Sublinear Computation Paradigm [[electronic resource] ] : Algorithmic Revolution in the Big Data Era
Sublinear Computation Paradigm [[electronic resource] ] : Algorithmic Revolution in the Big Data Era
Autore Katoh Naoki
Pubbl/distr/stampa Singapore, : Springer Singapore Pte. Limited, 2021
Descrizione fisica 1 online resource (403 p.)
Altri autori (Persone) HigashikawaYuya
ItoHiro
NagaoAtsuki
ShibuyaTetsuo
SljokaAdnan
TanakaKazuyuki
UnoYushi
Soggetto topico Algorithms & data structures
Numerical analysis
Soggetto non controllato Sublinear Algorithms
polynomial time algorithms
Constant-Time Algorithms
Sublinear Computation Paradigm
open access
ISBN 981-16-4095-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Introduction -- 1 What Is the Sublinear Computation Paradigm? -- 1.1 We Are in the Era of Big Data -- 1.2 Theory of Computational Complexity and Polynomial-Time Algorithms -- 1.3 Polynomial-Time Algorithms and Sublinear-Time Algorithms -- 1.3.1 A Brief History of Polynomial-Time Algorithms -- 1.3.2 Emergence of Sublinear-Time Algorithms -- 1.3.3 Property Testing and Parameter Testing -- 1.4 Ways to Decrease Computational Resources -- 1.4.1 Streaming Algorithms -- 1.4.2 Compression -- 1.4.3 Succinct Data Structures
1.5 Need for the Sublinear Computation Paradigm -- 1.5.1 Sublinear and Polynomial Computation Are Both Important -- 1.5.2 Research Project ABD -- 1.5.3 The Organization of This Book -- References -- Part II Sublinear Algorithms -- 2 Property Testing on Graphs and Games -- 2.1 Introduction -- 2.2 Basic Terms and Definitions for Property Testing -- 2.2.1 Graphs and the Three Models for Property Testing -- 2.2.2 Properties, Distances, and Testers -- 2.3 Important Known Results in Property Testing on Graphs -- 2.3.1 Results for the Dense-Graph Model -- 2.3.2 Results for the Bounded-Degree Model
2.3.3 Results for the General-Graph Model -- 2.4 Characterization of Testability on Bounded-Degree Digraphs -- 2.4.1 Bounded-Degree Model of Digraphs -- 2.4.2 Monotone Properties and Hereditary Properties -- 2.4.3 Characterizations -- 2.4.4 An Idea to Extend the Characterizations Beyond Monotone and Hereditary -- 2.5 Testable EXPTIME-Complete Games -- 2.5.1 Definitions -- 2.5.2 Testers for Generalized Chess, Shogi, and Xiangqi -- 2.6 Summary -- References -- 3 Constant-Time Algorithms for Continuous Optimization Problems -- 3.1 Introduction -- 3.2 Graph Limit Theory
3.3 Quadratic Function Minimization -- 3.3.1 Proof of Theorem 3.1 -- 3.4 Tensor Decomposition -- 3.4.1 Preliminaries -- 3.4.2 Proof of Theorem 3.2 -- 3.4.3 Proof of Lemma 3.4 -- 3.4.4 Proof of Lemma 3.5 -- References -- 4 Oracle-Based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs -- 4.1 Packing and Covering Semidefinite Programs -- 4.2 Applications -- 4.2.1 SDP relaxation for Robust MaxCut -- 4.2.2 Mahalanobis Distance Learning -- 4.2.3 Related Work -- 4.3 General Framework for Packing-Covering SDPs -- 4.4 Scalar Algorithms
4.4.1 Scalar MWU Algorithm for (Packing-I)-(Covering-I) -- 4.4.2 Scalar Logarithmic Potential Algorithm For (Packing-I)-(Covering-I) -- 4.5 Matrix Algorithms -- 4.5.1 Matrix MWU Algorithm For (Covering-II)-(Packing-II) -- 4.5.2 Matrix Logarithmic Potential Algorithm For (Packing-I)-(Covering-I) -- 4.5.3 Matrix Logarithmic Potential Algorithm For (Packing-II)-(Covering-II) -- References -- 5 Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks -- 5.1 Introduction -- 5.2 Preliminaries -- 5.3 Objective Functions -- 5.3.1 Objective Functions for the 1-Sink Problem
5.3.2 Objective Functions for k-Sink
Record Nr. UNISA-996464552103316
Katoh Naoki  
Singapore, : Springer Singapore Pte. Limited, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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