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KI 2022: Advances in Artificial Intelligence : 45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings / edited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 13404)

データ種別 電子ブック
1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ XXII, 225 p. 56 illus., 49 illus. in color : online resource
著者標目 Bergmann, Ralph editor
Malburg, Lukas editor
Rodermund, Stephanie C editor
Timm, Ingo J editor
SpringerLink (Online service)

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URL
射水-電子 007 EB0001747 Computer Scinece R0 2005-6,2022-3

9783031157912

書誌詳細を非表示

一般注記 An Implementation of Nonmonotonic Reasoning with System W -- Leveraging implicit gaze-based user feedback for interactive machine learning -- The Randomness of Input Data Spaces is an A Priori Predictor for Generalization -- Communicating Safety of Planned Paths via Optimally-Simple Explanations -- Assessing the Accuracy-Explainability-Cost Trade-off on Model Selection for Retail Article Categorization -- Enabling Supervised Machine Learning for SMEs through Data Pooling: A Case Study in the Service Industry -- Unsupervised Alignment of Distributional Word Embeddings. NeuralPDE: Modelling Dynamical Systems from Data -- Deep Neural Networks for Geometric Shape Deformation -- Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling -- Optimal Fixed-Premise Repairs of EL TBoxes -- Health And Habit: an Agent-based Approach -- Knowledge Graph Embeddings with Ontologies: Reification for Representing Arbitrary Relations -- Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning -- HanKA: Enriched Knowledge Used by an Adaptive Cooking Assistant -- Automated Kantian Ethics: A Faithful Implementation and Testing Framework -- PEBAM: A Profile-based Evaluation Method for Bias Assessment on Mixed Datasets
Chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
HTTP:URL=https://doi.org/10.1007/978-3-031-15791-2
件 名 LCSH:Artificial intelligence
LCSH:Computer engineering
LCSH:Computer networks 
LCSH:Application software
LCSH:Education -- Data processing  全ての件名で検索
LCSH:Computer science -- Mathematics  全ての件名で検索
FREE:Artificial Intelligence
FREE:Computer Engineering and Networks
FREE:Computer and Information Systems Applications
FREE:Computers and Education
FREE:Mathematics of Computing
分 類 LCC:Q334-342
LCC:TA347.A78
DC23:006.3
書誌ID EB00001135
ISBN 9783031157912

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