Buch
Recent Advances in Big Data and Deep Learning
-Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019-Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita (Hrsg.)
160,49
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Proceedings of the International Neural Networks Society (Bd. 1) |
Sprache | : | Englisch |
Erschienen | : | 03. 04. 2019 |
Seiten | : | 392 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 617 g |
ISBN | : | 9783030168407 |
Sprache | : | Englisch |
Inhaltsverzeichnis
On the trade-off between number of examples and precision of supervision in regression.- Distributed SmSVM Ensemble Learning.- Size/Accuracy Trade-off in Convolutional Neural Networks: An Evolutionary Approach.- Fast transfer learning for image polarity detection.- Dropout for Recurrent Neural Networks.- Psychiatric disorders classification with 3D Convolutional Neural Networks.- Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions.- Deep-learning domain adaptation techniques for credit cards fraud detection.- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks.- An information theoretic approach to the autoencoder.- Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning.- Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies.