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Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Edizione [1st ed.]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2022]
Descrizione fisica 1 online resource (VIII, 470 p.)
Disciplina 006.31
Collana De Gruyter STEM
Soggetto topico SCIENCE / Chemistry / General
Soggetto non controllato Artificial Intelligence
Big Data and Machine Learning
Cyber-physical systems
Data mining for Ubiquitous System Software
Embedded Systems and Machine Learning
Highly Distributed Data
ML on Small devices
Machine learning for knowledge discovery
Machine learning in high-energy physics
Resource-Aware Machine Learning
Resource-Constrained Data Analysis
ISBN 3-11-078598-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- 1 Editorial -- 2 Health / Medicine -- 2.1 Machine Learning in Medicine -- 2.2 Virus Detection -- 2.3 Cancer Diagnostics and Therapy from Molecular Data -- 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- 2.5 Survival Prediction and Model Selection -- 2.6 Protein Complex Similarity -- 3 Industry 4.0 -- 3.1 Keynote on Industry 4.0 -- 3.2 Quality Assurance in Interlinked Manufacturing Processes -- 3.3 Label Proportion Learning -- 3.4 Simulation and Machine Learning -- 3.5 High-Precision Wireless Localization -- 3.6 Indoor Photovoltaic Energy Harvesting -- 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- 4 Smart City and Traffic -- 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- 5 Communication Networks -- 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- 5.4 Machine Learning-Enabled 5G Network Slicing -- 5.5 Potential of Millimeter Wave Communications -- 6 Privacy -- 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- Bibliography -- Index -- List of Contributors
Record Nr. UNISA-996503570503316
Berlin ; ; Boston : , : De Gruyter, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
Edizione [1st ed.]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2022]
Descrizione fisica 1 online resource (VIII, 470 p.)
Disciplina 006.31
Collana De Gruyter STEM
Soggetto topico SCIENCE / Chemistry / General
Soggetto non controllato Artificial Intelligence
Big Data and Machine Learning
Cyber-physical systems
Data mining for Ubiquitous System Software
Embedded Systems and Machine Learning
Highly Distributed Data
ML on Small devices
Machine learning for knowledge discovery
Machine learning in high-energy physics
Resource-Aware Machine Learning
Resource-Constrained Data Analysis
ISBN 3-11-078598-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- 1 Editorial -- 2 Health / Medicine -- 2.1 Machine Learning in Medicine -- 2.2 Virus Detection -- 2.3 Cancer Diagnostics and Therapy from Molecular Data -- 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- 2.5 Survival Prediction and Model Selection -- 2.6 Protein Complex Similarity -- 3 Industry 4.0 -- 3.1 Keynote on Industry 4.0 -- 3.2 Quality Assurance in Interlinked Manufacturing Processes -- 3.3 Label Proportion Learning -- 3.4 Simulation and Machine Learning -- 3.5 High-Precision Wireless Localization -- 3.6 Indoor Photovoltaic Energy Harvesting -- 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- 4 Smart City and Traffic -- 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- 5 Communication Networks -- 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- 5.4 Machine Learning-Enabled 5G Network Slicing -- 5.5 Potential of Millimeter Wave Communications -- 6 Privacy -- 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- Bibliography -- Index -- List of Contributors
Record Nr. UNINA-9910774815903321
Berlin ; ; Boston : , : De Gruyter, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Solving Large Scale Learning Tasks. Challenges and Algorithms [[electronic resource] ] : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
Solving Large Scale Learning Tasks. Challenges and Algorithms [[electronic resource] ] : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIV, 387 p. 73 illus.)
Disciplina 005.7565
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Computer communication systems
Algorithms
Data mining
Database management
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computer Communication Networks
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Database Management
ISBN 3-319-41706-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Online Social Networks Event Detection -- Detecting Events in Online Social Networks: Definitions, Trends and Challenges -- Why do we need data privacy -- Sharing Data with Guaranteed Privacy -- Distributed Support Vector Machines -- Big Data Classification — Aspects on Many Features -- Knowledge Discovery from Complex High Dimensional Data -- Local Pattern Detection in Attributed Graphs -- Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media -- Understanding Human Mobility with Big Data -- On Event Detection from Spatial Time series for Urban Traffic Applications -- Compressible Reparametrization of Time-Variant Linear Dynamical Systems -- Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis -- SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space -- Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015 -- Collaborative on line learning of an action model -- Ontology-based Classification — Application of Machine Learning Concepts without Learning -- Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction -- Supervised Extraction of Usage Patterns in Different Document Representations -- Data-Driven Analyses of Electronic Text Books -- k-Morik: Mining Patterns to Classify Cartified Images of Katharina.
Record Nr. UNISA-996465692903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Solving Large Scale Learning Tasks. Challenges and Algorithms : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
Solving Large Scale Learning Tasks. Challenges and Algorithms : Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday / / edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIV, 387 p. 73 illus.)
Disciplina 005.7565
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Computer communication systems
Algorithms
Data mining
Database management
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computer Communication Networks
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Database Management
ISBN 3-319-41706-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Online Social Networks Event Detection -- Detecting Events in Online Social Networks: Definitions, Trends and Challenges -- Why do we need data privacy -- Sharing Data with Guaranteed Privacy -- Distributed Support Vector Machines -- Big Data Classification — Aspects on Many Features -- Knowledge Discovery from Complex High Dimensional Data -- Local Pattern Detection in Attributed Graphs -- Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media -- Understanding Human Mobility with Big Data -- On Event Detection from Spatial Time series for Urban Traffic Applications -- Compressible Reparametrization of Time-Variant Linear Dynamical Systems -- Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis -- SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space -- Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015 -- Collaborative on line learning of an action model -- Ontology-based Classification — Application of Machine Learning Concepts without Learning -- Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction -- Supervised Extraction of Usage Patterns in Different Document Representations -- Data-Driven Analyses of Electronic Text Books -- k-Morik: Mining Patterns to Classify Cartified Images of Katharina.
Record Nr. UNINA-9910483076803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui