000 01831nam a2200481 a 4500
001 EBC3338667
003 MiAaPQ
005 20240121043629.0
006 m o d |
007 cr cn|||||||||
008 061012s2007 maua sb 001 0 eng
010 _z 2006033527
015 _aGBA713858
_2bnb
016 7 _z013677733
_2Uk
020 _z9780262083607 (hardcover : alk. paper)
020 _z0262083604 (hbk.)
035 _a(MiAaPQ)EBC3338667
035 _a(Au-PeEL)EBL3338667
035 _a(CaPaEBR)ebr10173731
035 _a(CaONFJC)MIL209850
035 _a(OCoLC)923250477
040 _aMiAaPQ
_cMiAaPQ
_dMiAaPQ
050 4 _aBC177
_b.H377 2007
082 0 4 _a161
_222
100 1 _aHarman, Gilbert.
245 1 0 _aReliable reasoning
_h[electronic resource] :
_binduction and statistical learning theory /
_cGilbert Harman and Sanjeev Kulkarni.
260 _aCambridge, Mass. :
_bMIT Press,
_cc2007.
300 _ax, 108 p. :
_bill.
490 1 _aThe Jean Nicod lectures ;
_v2007
500 _a"A Bradford book."
504 _aIncludes bibliographical references (p. [99]-104) and index.
505 0 _aThe problem of induction -- Induction and VC dimension -- Induction and "simplicity" -- Neural networks, support vector machines, and transduction.
533 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aReasoning.
650 0 _aReliability.
650 0 _aInduction (Logic)
650 0 _aComputational learning theory.
655 4 _aElectronic books.
700 1 _aKulkarni, Sanjeev.
710 2 _aProQuest (Firm)
830 0 _aJean Nicod lectures ;
_v2007.
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=3338667
_zClick to View
999 _c196841
_d196841