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Artificial intelligence and machine ...

BNAIC/Benelearn (Joint Conference) (2022 :)

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Artificial intelligence and machine learning = 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and machine learning/ edited by Toon Calders ... [et al.].
其他題名:	34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022 : revised selected papers /
其他題名:	BNAIC/Benelearn 2022
其他作者:	Calders, Toon.
團體作者:	BNAIC/Benelearn (Joint Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xii, 179 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-39144-6
ISBN:	9783031391446

Artificial intelligence and machine learning = 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022 : revised selected papers /
Artificial intelligence and machine learning34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022 : revised selected papers /[electronic resource] :BNAIC/Benelearn 2022edited by Toon Calders ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xii, 179 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,18051865-0937 ;. - Communications in computer and information science ;1805..

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.

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.

ISBN: 9783031391446

Standard No.: 10.1007/978-3-031-39144-6doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Artificial intelligence and machine learning = 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022 : revised selected papers /
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