ECML PKDD 2018 Workshops (eBook, PDF)

DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
Redaktion: Monreale, Anna; Ribeiro, Rita P.; Gama, João; Bifet, Albert; Sayed-Mouchaweh, Moamar; Paurat, Daniel; Krishnamurthy, Yamuna; Kamp, Michael; Alzate, Carlos

• Format: PDF

Produktbeschreibung

This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18^thEuropean 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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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 127
• Erscheinungstermin: 7. März 2019
• Englisch
• ISBN-13: 9783030148805
• Artikelnr.: 55420237

Inhaltsangabe

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.