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200 10$aAlgorithmic Learning Theory $e26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /$fedited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (XVII, 395 p. 26 illus. in color.)
225 1 $aLecture Notes in Artificial Intelligence ;$v9355
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-24485-X 
327   $aInductive inference -- Learning from queries, teaching complexity -- Computational learning theory and algorithms -- Statistical learning theory and sample complexity -- Online learning -- Stochastic optimization -- Kolmogorov complexity, algorithmic information theory.
330   $aThis book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.
410  0$aLecture Notes in Artificial Intelligence ;$v9355
606   $aArtificial intelligence
606   $aComputers
606   $aData mining
606   $aPattern perception
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
615  0$aArtificial intelligence.
615  0$aComputers.
615  0$aData mining.
615  0$aPattern perception.
615 14$aArtificial Intelligence.
615 24$aTheory of Computation.
615 24$aData Mining and Knowledge Discovery.
615 24$aPattern Recognition.
676   $a006.3
702   $aChaudhuri$b Kamalika$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aGENTILE$b CLAUDIO$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aZilles$b Sandra$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483982303321
996   $aAlgorithmic Learning Theory$9771965
997   $aUNINA