Machine Learning and Knowledge Discovery in Databases: Research Track

Name: Machine Learning and Knowledge Discovery in Databases: Research Track
Brand: Springer, Berlin
SKU: 9783031434297
Price: 278.78 PLN
Availability: InStock

European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII

Autor: Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi

Język:

Oprawa: Miękka

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

278.78 zł

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Co...

Informacje o książce

Autor

Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2023

strony

440

EAN

9783031434297

Enbook ID

43844081

Wydawca

Springer, Berlin

Waga

612

Wymiary

155 x 235

Pełny opis

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.

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Machine Learning and Knowledge Discovery in Databases: Research Track

European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII

Informacje o książce

Pełny opis

Możesz być zainteresowany

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