01812nam a2200445 a 4500001001200000003000800012005001700020006001900037007001500056008004100071010001700112015001900129016001800148020004300166020002200209040002100231035002100252050002400273082001200297100002900309245013100338260004300469300002200512490003600534500002300570504006500593505015200658533015200810650002100962650002400983650003001007650004301037655003401080700003101114710002201145830004101167856013101208942000801339999001901347ebr10173731CaPaEBR20260707193055.0m        u        cr cn|||||||||061012s2007    maua    sb    001 0 eng    z  2006033527  aGBA7138582bnb7 z0136777332Uk  z9780262083607 (hardcover : alk. paper)  z0262083604 (hbk.)  aCaPaEBRcCaPaEBR  a(OCoLC)12317502714aBC177b.H377 2007eb04a1612221 aHarman, Gilbert.918705610aReliable reasoningh[electronic resource] :binduction and statistical learning theory /cGilbert Harman and Sanjeev Kulkarni.  aCambridge, Mass. :bMIT Press,cc2007.  ax, 108 p. :bill.1 aThe Jean Nicod lectures ;v2007  a"A Bradford book."  aIncludes bibliographical references (p. [99]-104) and index.0 aThe problem of induction -- Induction and VC dimension -- Induction and "simplicity" -- Neural networks, support vector machines, and transduction.  aElectronic reproduction.bPalo Alto, Calif. :cebrary,d2013.nAvailable via World Wide Web.nAccess may be limited to ebrary affiliated libraries. 0aReasoning.94769 0aReliability.971575 0aInduction (Logic)9125528 0aComputational learning theory.9187057 7aElectronic books.2local91901 aKulkarni, Sanjeev.91870582 aebrary, Inc.9191 0aJean Nicod lectures ;v2007.916534440uhttp://site.ebrary.com/lib/strathmore/Doc?id=10173731zAn electronic book accessible through the World Wide Web; click to view  cEBK  c229887d201139