LEADER 03519nam 22006735 450 001 9910483307903321 005 20200701022507.0 010 $a3-319-46379-9 024 7 $a10.1007/978-3-319-46379-7 035 $a(CKB)3710000000900955 035 $a(DE-He213)978-3-319-46379-7 035 $a(MiAaPQ)EBC6280891 035 $a(MiAaPQ)EBC5586516 035 $a(Au-PeEL)EBL5586516 035 $a(OCoLC)960952402 035 $a(PPN)196323029 035 $a(EXLCZ)993710000000900955 100 $a20160920d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithmic Learning Theory $e27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings /$fedited by Ronald Ortner, Hans Ulrich Simon, Sandra Zilles 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIX, 371 p. 21 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v9925 311 $a3-319-46378-0 327 $aError bounds, sample compression schemes -- Statistical learning, theory, evolvability -- Exact and interactive learning -- Complexity of teaching models -- Inductive inference -- Online learning -- Bandits and reinforcement learning -- Clustering. 330 $aThis book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering. 410 0$aLecture Notes in Artificial Intelligence ;$v9925 606 $aArtificial intelligence 606 $aComputers 606 $aData mining 606 $aPattern recognition 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$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aData Mining and Knowledge Discovery. 615 24$aPattern Recognition. 676 $a005.1 702 $aOrtner$b Ronald$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSimon$b Hans Ulrich$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 $a9910483307903321 996 $aAlgorithmic Learning Theory$9771965 997 $aUNINA