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

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Artificial Intelligence ; 13404Verlag: Cham : Springer International Publishing, 2022Verlag: Cham : Imprint: Springer, 2022Auflage: 1st ed. 2022Beschreibung: 1 Online-Ressource(XXII, 225 p. 56 illus., 49 illus. in color.)ISBN:

9783031157912

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Andere physische Formen: 9783031157905 | 9783031157929 | Erscheint auch als: 9783031157905 Druck-Ausgabe | Erscheint auch als: 9783031157929 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-15791-2Online-Ressourcen:

Zusammenfassung: 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.Zusammenfassung: 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.PPN: PPN: 1816990531Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC | BSZ-2-SN-Auswahl

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