Machine Learning and Knowledge Discovery in Databases - Applied Data Science and Demo Track: European Conference, Ecml Pkdd 2023, Turin, Italy, September 18-22, 2023, Proceedings - Couverture souple

9783031434297: Machine Learning and Knowledge Discovery in Databases - Applied Data Science and Demo Track: European Conference, Ecml Pkdd 2023, Turin, Italy, September 18-22, 2023, Proceedings

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ISBN 10 : 3031434293 ISBN 13 : 9783031434297

Editeur : Springer International Publishing AG, 2023

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The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.

The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.

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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2023
Langue: anglais
ISBN 10: 3031434293
ISBN 13: 9783031434297
Reliure: Broch�
Num�ro d'�dition: 1
Nombre de pages: 381
�diteur: De Francisci Morales Gianmarco, Perlich Claudia, Ruchansky Natali, Kourtellis Nicolas, Baralis Elena, Bonchi Francesco
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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track: European Conference, ECML PKDD 2023, Turin, Italy, . (Lecture Notes in Computer Science, 14175)

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ISBN 10 : 3031434293 ISBN 13 : 9783031434297

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track: European Conference, ECML PKDD 2023, Turin, Italy, ... (Lecture Notes in Computer Science, 14175)

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII

Gianmarco de Francisci Morales

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.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. N� de r�f. du vendeur 9783031434297

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

Gianmarco de Francisci Morales

Edit� par Springer Nature Switzerland, Springer Nature Switzerland Sep 2023, 2023

ISBN 10 : 3031434293 ISBN 13 : 9783031434297

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.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. 440 pp. Englisch. N� de r�f. du vendeur 9783031434297

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

Gianmarco de Francisci Morales

Edit� par Springer Nature Switzerland, Springer Nature Switzerland Sep 2023, 2023

ISBN 10 : 3031434293 ISBN 13 : 9783031434297

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Taschenbuch. Etat : Neu. Neuware -The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. N� de r�f. du vendeur 9783031434297

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