ECML PKDD 2018 workshops DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018 : revised selected papers
Decentralized machine learning on the edge. Sparsity in deep neural networks - an empirical investigation with TensorQuant -- Asynchronous federated learning for geospatial applications -- Generalizing knowledge in decentralized rule-based models -- Introducing noise in decentralized training of neu...
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Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham, Switzerland
Springer
2019
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Schriftenreihe: | Communications in computer and information science
967 |
Schlagworte: | |
Online Zugang: | Inhaltsverzeichnis 1850-9999 |
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Zusammenfassung: | Decentralized machine learning on the edge. Sparsity in deep neural networks - an empirical investigation with TensorQuant -- Asynchronous federated learning for geospatial applications -- Generalizing knowledge in decentralized rule-based models -- Introducing noise in decentralized training of neural networks -- 3rd workshop on IoT large scale machine learnign from data streams. Query log analysis : detecting anomalies in DNS traffic at a TLD resolver -- Multimodal tweet sentiment classification algorithm based on attention mechanism -- Active learning by clustering for drifted data stream classification -- Self hyper-parameter tuning for stream recommendation algorithms -- Deep online storage-free learning on unordered image streams -- Fault prognostics for the predictive maintenance of wind turbines : state of the art. This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 8 full papers presented in this volume were carefully reviewed and selected from a total of 12 submissions. The workshops included are: DMLE 2018: First Workshop on Decentralized Machine Learning at the Edge; IoTStream 2018: 3rd Workshop on IoT Large Scale Machine Learning from Data Streams |
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Beschreibung: | Includes bibliographical references and index |
Beschreibung: | viii, 125 pages illustrations 24 cm |
ISBN: | 9783030148799 978-3-030-14879-9 3030148793 3-030-14879-3 |