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 | ||
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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 | ||
|
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 | ||
|