Machine Learning and Knowledge Discovery in Databases: Lecture Notes in Computer Science, cartea 13716
Editat de Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakasen Limba Engleză Paperback – 17 mar 2023
The volumes are organized in topical sections as follows:
Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning;
Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems;
Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search;
Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning;
Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability;
Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
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Specificații
ISBN-13: 9783031264115
ISBN-10: 3031264118
Pagini: 688
Ilustrații: XLVI, 641 p. 142 illus., 133 illus. in color.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.03 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031264118
Pagini: 688
Ilustrații: XLVI, 641 p. 142 illus., 133 illus. in color.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.03 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Reinforcement learning.- Multi-agent reinforcement learning.- Bandits and online learning.- Active and semi-supervised learning.- Private and federated learning.
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terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/
by/4.0/). For further details see license information in the chapter.