Artificial Intelligence and Machine Learning (eBook, PDF)

35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers
Redaktion: Oliehoek, Frans A.; Verwer, Sicco; Kok, Manon

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 276
• Erscheinungstermin: 28. November 2024
• Englisch
• ISBN-13: 9783031746505
• Artikelnr.: 72295363

Inhaltsangabe

.- 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.