Machine Learning and Knowledge Discovery in Databases: Research Track: Lecture Notes in Computer Science, cartea 14173
Editat de Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchien Limba Engleză Paperback – 18 sep 2023
The volumes are organized in topical sections as follows:
Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.
Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.
Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.
Part V: Robustness; Time Series; Transfer and Multitask Learning.
Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
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Specificații
ISBN-13: 9783031434235
ISBN-10: 3031434234
Pagini: 516
Ilustrații: LIII, 460 p. 113 illus., 110 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 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: 3031434234
Pagini: 516
Ilustrații: LIII, 460 p. 113 illus., 110 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Robustness.- Time Series.- Transfer and Multitask Learning.
Textul de pe ultima copertă
Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.