03540nam 22006735 450 99646527410331620200701022507.03-319-46379-910.1007/978-3-319-46379-7(CKB)3710000000900955(DE-He213)978-3-319-46379-7(MiAaPQ)EBC6280891(MiAaPQ)EBC5586516(Au-PeEL)EBL5586516(OCoLC)960952402(PPN)196323029(EXLCZ)99371000000090095520160920d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAlgorithmic Learning Theory[electronic resource] 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings /edited by Ronald Ortner, Hans Ulrich Simon, Sandra Zilles1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIX, 371 p. 21 illus.) Lecture Notes in Artificial Intelligence ;99253-319-46378-0 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 -- Clustering.This 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.Lecture Notes in Artificial Intelligence ;9925Artificial intelligenceComputersData miningPattern recognitionArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Theory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial intelligence.Computers.Data mining.Pattern recognition.Artificial Intelligence.Theory of Computation.Data Mining and Knowledge Discovery.Pattern Recognition.005.1Ortner Ronaldedthttp://id.loc.gov/vocabulary/relators/edtSimon Hans Ulrichedthttp://id.loc.gov/vocabulary/relators/edtZilles Sandraedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465274103316Algorithmic Learning Theory771965UNISA