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020 _a9783031157912
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024 7 _a10.1007/978-3-031-15791-2
_2doi
050 4 _aQ334-342
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245 1 0 _aKI 2022: Advances in Artificial Intelligence
_h[electronic resource] :
_b45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings /
_cedited by Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXII, 225 p. 56 illus., 49 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13404
505 0 _aAn 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.
520 _aChapter "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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aApplication software.
_9175465
650 0 _aEducation
_xData processing.
_982607
650 0 _aComputer science
_xMathematics.
_93866
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9175466
650 2 4 _aComputer and Information Systems Applications.
_9175467
650 2 4 _aComputers and Education.
_941129
650 2 4 _aMathematics of Computing.
_931875
700 1 _aBergmann, Ralph.
_eeditor.
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700 1 _aMalburg, Lukas.
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_9175469
700 1 _aRodermund, Stephanie C.
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_9175470
700 1 _aTimm, Ingo J.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-15791-2
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