02651nam 2200721 a 450 991080736570332120200520144314.01-282-09850-097866120985050-262-27497-31-4294-6561-1(CKB)1000000000472549(EBL)3338667(SSID)ssj0000235379(PQKBManifestationID)11199302(PQKBTitleCode)TC0000235379(PQKBWorkID)10260864(PQKB)11727037(MiAaPQ)EBC3338667(OCoLC)123175027(OCoLC)290542175(OCoLC)475393159(OCoLC)614488635(OCoLC)648227123(OCoLC)743198281(OCoLC)756433981(OCoLC)767081935(OCoLC)771221436(OCoLC)815776535(OCoLC)923250477(OCoLC)961523040(OCoLC)962588997(OCoLC)988463311(OCoLC)991915245(OCoLC)991947520(OCoLC)1037928891(OCoLC)1038674705(OCoLC)1055402553(OCoLC)1066689805(OCoLC)1081252996(OCoLC-P)123175027(MaCbMITP)5876(Au-PeEL)EBL3338667(CaPaEBR)ebr10173731(CaONFJC)MIL209850(OCoLC)923250477(EXLCZ)99100000000047254920061012d2007 uy 0engur|n|---|||||txtccrReliable reasoning induction and statistical learning theory /Gilbert Harman and Sanjeev Kulkarni1st ed.Cambridge, Mass. MIT Pressc20071 online resource (118 p.)The Jean Nicod lectures ;2007"A Bradford book."0-262-51734-5 0-262-08360-4 Includes bibliographical references (p. [99]-104) and index.The problem of induction -- Induction and VC dimension -- Induction and "simplicity" -- Neural networks, support vector machines, and transduction.The implications for philosophy and cognitive science of developments in statistical learning theory.Jean Nicod lectures ;2007.ReasoningReliabilityInduction (Logic)Computational learning theoryReasoning.Reliability.Induction (Logic)Computational learning theory.161Harman Gilbert160614Kulkarni Sanjeev502753MiAaPQMiAaPQMiAaPQBOOK9910807365703321Reliable reasoning710614UNINA