Artificial Intelligence and Machine Learning -

Artificial Intelligence and Machine Learning

34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7–9, 2022, Revised Selected Papers
Buch | Softcover
XII, 179 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-39143-9 (ISBN)
64,19 inkl. MwSt
This book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022.

The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

Explainable Misinformation Detection from Text: A Critical Look.- Explaining Two Strange Learning Curves.- Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM!.- Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming.- A view on model misspecification in uncertainty quantification.- A Comparative Study of Sentence Embeddings for Unsupervised Extractive Multi-Document Summarization.- On-Device Deep Learning Location Category Inference Model.- Specificity and context dependent preferences in argumentation systems.- Model-Based Reinforcement Learning with State Abstraction: A Survey.- Symmetry and Dominance Breaking for Pseudo-Boolean Optimization.- Examining speaker and keyword uniqueness: Partitioning keyword spotting datasets for federated learning with the largest differencing method.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XII, 179 p. 48 illus., 43 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 302 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Bayesian Learning • causal learning • Communication Systems • Computational Creativity • Computer Networks • Computer systems • computer vision • Deep learning • Ensemble methods • Image Processing • Inductive Logic Programming • Learning and Ubiquitous Computing • machine learning • pattern recognition • Reinforcement Learning • Signal Processing • Statistical Learning • Telecommunication Systems • wireless telecommunication systems
ISBN-10 3-031-39143-8 / 3031391438
ISBN-13 978-3-031-39143-9 / 9783031391439
Zustand Neuware
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