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. Ribeiroen Limba Engleză Paperback – 8 mar 2019
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
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.