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_a9783642409882 _9978-3-642-40988-2 |
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_a10.1007/978-3-642-40988-2 _2doi |
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_aSpringer _cSpringer _dRU-ToGU |
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_a006.312 _223 |
100 | 1 |
_aBlockeel, Hendrik. _eeditor. _9330368 |
|
245 | 1 | 0 |
_aMachine Learning and Knowledge Discovery in Databases _h[electronic resource] : _bEuropean Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / _cedited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný. |
260 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
||
300 |
_aLIV, 691 p. 198 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v8188 |
|
505 | 0 | _aReinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. | |
520 | _aThis three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track. | ||
650 | 0 |
_aComputer Science. _9155490 |
|
650 | 0 |
_aComputational complexity. _9304814 |
|
650 | 0 |
_aData mining. _9306371 |
|
650 | 0 |
_aInformation storage and retrieval systems. _9137013 |
|
650 | 0 |
_aArtificial intelligence. _9274099 |
|
650 | 0 |
_aOptical pattern recognition. _9304126 |
|
650 | 1 | 4 |
_aComputer Science. _9155490 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9306372 |
650 | 2 | 4 |
_aArtificial Intelligence (incl. Robotics). _9274102 |
650 | 2 | 4 |
_aPattern Recognition. _9304129 |
650 | 2 | 4 |
_aDiscrete Mathematics in Computer Science. _9304816 |
650 | 2 | 4 |
_aProbability and Statistics in Computer Science. _9304554 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _9303027 |
700 | 1 |
_aKersting, Kristian. _eeditor. _9328694 |
|
700 | 1 |
_aNijssen, Siegfried. _eeditor. _9415904 |
|
700 | 1 |
_aŽelezný, Filip. _eeditor. _9415905 |
|
710 | 2 |
_aSpringerLink (Online service) _9143950 |
|
773 | 0 | _tSpringer eBooks | |
830 | 0 |
_aLecture Notes in Computer Science, _9279505 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-40988-2 |
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912 | _aZDB-2-LNC | ||
999 | _c357564 |