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001 | 978-3-031-15791-2 | ||
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008 | 220916s2022 sz | s |||| 0|eng d | ||
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_a9783031157912 _9978-3-031-15791-2 |
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024 | 7 |
_a10.1007/978-3-031-15791-2 _2doi |
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050 | 4 | _aTA347.A78 | |
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_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. |
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300 |
_aXXII, 225 p. 56 illus., 49 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aComputer engineering. _910164 |
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650 | 0 |
_aComputer networks . _931572 |
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650 | 0 |
_aApplication software. _9175465 |
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650 | 0 |
_aEducation _xData processing. _982607 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
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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. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9175468 |
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700 | 1 |
_aMalburg, Lukas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9175469 |
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700 | 1 |
_aRodermund, Stephanie C. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9175470 |
|
700 | 1 |
_aTimm, Ingo J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9175471 |
|
710 | 2 |
_aSpringerLink (Online service) _9175472 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031157905 |
776 | 0 | 8 |
_iPrinted edition: _z9783031157929 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v13404 _9175473 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-15791-2 |
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