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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 370 | Sprache: Portugiesisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 303149007X ISBN 13: 9783031490071
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Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 3032061288 ISBN 13: 9783032061287
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Taschenbuch. Zustand: Neu. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track | European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X | Inês Dutra (u. a.) | Taschenbuch | Lecture Notes in Computer Science | lxxvii | Englisch | 2025 | Springer | EAN 9783032061287 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Progress in Artificial Intelligence | 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I | Nuno Moniz (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xlv | Englisch | 2023 | Springer | EAN 9783031490071 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15 19, 2025.The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2024
ISBN 10: 303149010X ISBN 13: 9783031490101
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 144,07
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Taschenbuch. Zustand: Neu. Progress in Artificial Intelligence | 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II | Nuno Moniz (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xlv | Englisch | 2023 | Springer | EAN 9783031490101 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.