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001 | 978-3-031-26387-3 | ||
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_a9783031263873 _9978-3-031-26387-3 |
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_a10.1007/978-3-031-26387-3 _2doi |
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050 | 4 | _aTA347.A78 | |
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_aMachine Learning and Knowledge Discovery in Databases _h[electronic resource] : _bEuropean Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I / _cedited by Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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300 |
_aXLVI, 729 p. 230 illus., 216 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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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v13713 |
|
505 | 0 | _aClustering and dimensionality reduction -- anomaly detection -- interpretability and explainability -- ranking and recommender systems -- transfer and multitask learning. | |
520 | _aThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aComputers. _98172 |
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650 | 0 |
_aData mining. _93907 |
|
650 | 0 |
_aSocial sciences _xData processing. _983360 |
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650 | 0 |
_aComputer science _xMathematics. _93866 |
|
650 | 0 |
_aComputer science. _99832 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputing Milieux. _955441 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9118776 |
650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _931815 |
650 | 2 | 4 |
_aMathematics of Computing. _931875 |
650 | 2 | 4 |
_aTheory of Computation. _9118777 |
700 | 1 |
_aAmini, Massih-Reza. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118778 |
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700 | 1 |
_aCanu, Stéphane. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118779 |
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700 | 1 |
_aFischer, Asja. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118780 |
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700 | 1 |
_aGuns, Tias. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118781 |
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700 | 1 |
_aKralj Novak, Petra. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118782 |
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700 | 1 |
_aTsoumakas, Grigorios. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9118783 |
|
710 | 2 |
_aSpringerLink (Online service) _9118784 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031263866 |
776 | 0 | 8 |
_iPrinted edition: _z9783031263880 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v13713 _9118785 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-26387-3 |
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