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010   $a3-642-34106-3
024 7 $a10.1007/978-3-642-34106-9
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035   $a(DE-He213)978-3-642-34106-9
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100   $a20121001d2012      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aAlgorithmic Learning Theory$b[electronic resource] $e23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings /$fedited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
205   $a1st ed. 2012.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012.
215   $a1 online resource (XII, 381 p. 23 illus.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v7568
300   $aInternational conference proceedings.
311   $a3-642-34105-5 
320   $aIncludes bibliographical references and author index.
327   $ainductive inference -- teaching and PAC learning -- statistical learning theory and classification -- relations between models and data -- bandit problems, online prediction of individual sequences.- other models of online learning.
330   $aThis book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.
410  0$aLecture Notes in Artificial Intelligence ;$v7568
606   $aArtificial intelligence
606   $aMathematical logic
606   $aAlgorithms
606   $aComputers
606   $aComputer logic
606   $aPattern recognition
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
606   $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
615  0$aArtificial intelligence.
615  0$aMathematical logic.
615  0$aAlgorithms.
615  0$aComputers.
615  0$aComputer logic.
615  0$aPattern recognition.
615 14$aArtificial Intelligence.
615 24$aMathematical Logic and Formal Languages.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aComputation by Abstract Devices.
615 24$aLogics and Meanings of Programs.
615 24$aPattern Recognition.
676   $a005.1
702   $aBshouty$b Nader H$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aStoltz$b Gilles$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aVayatis$b Nicolas$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZeugmann$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aALT 2012
906   $aBOOK
912   $a996465651103316
996   $aAlgorithmic Learning Theory$9771965
997   $aUNISA