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RT Book, Whole SR Electronic DC OPAC T1 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 T2 Lecture Notes in Artificial Intelligence. ISSN:29459141 A1 Bergmann, Ralph A1 Malburg, Lukas A1 Rodermund, Stephanie C A1 Timm, Ingo J A1 SpringerLink (Online service) YR 2022 FD 2022 SP XXII, 225 p. 56 illus., 49 illus. in color K1 Artificial intelligence K1 Computer engineering K1 Computer networks K1 Application software K1 Education -- Data processing K1 Computer science -- Mathematics K1 Artificial Intelligence K1 Computer Engineering and Networks K1 Computer and Information Systems Applications K1 Computers and Education K1 Mathematics of Computing ED 1st ed. 2022. PB Springer International Publishing : Imprint: Springer PP Cham SN 9783031157912 LA English (英語) CL LCC:Q334-342 CL LCC:TA347.A78 CL DC23:006.3 NO 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 NO 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 NO HTTP:URL=https://doi.org/10.1007/978-3-031-15791-2 NO 書誌ID=EB00001135; LK [E Book]https://doi.org/10.1007/978-3-031-15791-2 OL 30