| Record ID | marc_loc_updates/v35.i24.records.utf8:9338176:1361 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_updates/v35.i24.records.utf8:9338176:1361?format=raw |
LEADER: 01361cam a2200361 a 4500
001 2006033527
003 DLC
005 20070611072621.0
008 061012s2007 maua b 001 0 eng
010 $a 2006033527
015 $aGBA713858$2bnb
016 7 $a013677733$2Uk
020 $a9780262083607 (hardcover : alk. paper)
020 $a0262083604 (hbk.)
035 $a(OCoLC)ocm73926873
035 $a(OCoLC)73926873
040 $aDLC$cDLC$dYDX$dBAKER$dBTCTA$dUKM$dYDXCP$dIXA$dDLC
050 00 $aBC177$b.H377 2007
082 00 $a161$222
100 1 $aHarman, Gilbert.
245 10 $aReliable reasoning :$binduction and statistical learning theory /$cGilbert Harman and Sanjeev Kulkarni.
260 $aCambridge, Mass. :$bMIT Press,$cc2007.
300 $ax, 108 p. :$bill. ;$c21 cm.
440 4 $aThe Jean Nicod lectures ;$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.
650 0 $aReasoning.
650 0 $aReliability.
650 0 $aInduction (Logic)
650 0 $aComputational learning theory.
700 1 $aKulkarni, Sanjeev.
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip073/2006033527.html