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Artificial Intelligence and Machine Learning -

Artificial Intelligence and Machine Learning

35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8–10, 2023, Revised Selected Papers
Buch | Softcover
XX, 272 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-74649-9 (ISBN)
CHF 104,80 inkl. MwSt
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This book constitutes the refereed proceedings of the 35th Benelux Conference on Artificial Intelligence and Machine Learning, BNAIC/Benelearn 2023, held in Delft, The Netherlands, during November 8-10, 2023.

The 14 papers included in these proceedings were carefully reviewed and selected from 47 submissions. These papers focus on various aspects of Artificial Intelligence and Machine learning, including Natural Language Processing and Reinforcement Learning, and their applications.

.- No Imputation without Representation.

.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.

.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .

.- Assessing Aggressive Driving Behaviour Using Attention Based Models.

.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.

.- Forecast Reconciliation for Vaccine Supply Chain Optimization.

.- Machine Learning Applications in Route Planning for Attended Home Delivery.

.- ironment: A New Environment for Coordination critical Multi-agent Tasks.

.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.

.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.

Erscheint lt. Verlag 15.11.2024
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XX, 272 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Hardware
Schlagworte applications of AI • Artificial Intelligence • machine learning • Natural Language Processing • Planning • Reinforcement Learning • Vision
ISBN-10 3-031-74649-X / 303174649X
ISBN-13 978-3-031-74649-9 / 9783031746499
Zustand Neuware
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