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ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers de Anna Monreale

ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers: Communications in Computer and Information Science, cartea 967

Editat de Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
en Limba Engleză Paperback – 8 mar 2019
This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18thEuropean 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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Specificații

ISBN-13: 9783030148799
ISBN-10: 3030148793
Pagini: 120
Ilustrații: IX, 127 p. 43 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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. - 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.