000 01868cam a22004457a 4500
001 15166147
005 20201128020719.0
008 080204s2008 gw a b 101 0 eng d
010 _a 2008922315
016 7 _a987616684
_2GyFmDB
020 _a9783540786511 (pbk.)
020 _a3540786511 (pbk.)
035 _a(OCoLC)ocn216924258
040 _aOHX
_cOHX
_dC$Q
_dYDXCP
_dCUY
_dDLC
042 _alccopycat
050 0 0 _aQA76.63
_b.P69 2008
072 7 _aQA
_2lcco
082 _a005.115
_bRAE
245 0 0 _aProbabilistic inductive logic programming :
_btheory and applications /
_cLuc De Raedt ... [et al.] (eds.).
260 _aBerlin ;
_aNew York :
_bSpringer,
_c2008.
300 _aviii, 339 p. :
_bill. ;
_c24 cm.
440 0 _aLNCS sublibrary.
_nSL 7,
_pArtificial intelligence
_92920
490 1 _aLecture notes in computer science,
_x0302-9743 ;
_v4911.
_aLecture notes in artificial intelligence.
490 1 _aState-of-the-art survey.
500 _aResearch report.
504 _aIncludes bibliographical references and index.
530 _aAlso issued online.
650 0 _aLogic programming.
_92921
650 0 _aMachine learning.
_92922
650 0 _aStochastic processes.
_92923
700 1 _aRaedt, Luc de,
_d1964-
_92924
830 0 _aLecture notes in computer science ;
_v4911.
_92925
830 0 _aLecture notes in computer science.
_pLecture notes in artificial intelligence.
_92926
830 0 _aLecture notes in computer science.
_pState-of-the-art survey.
_92927
856 4 1 _uhttp://www.springerlink.com/openurl.asp?genre=issue&issn=0302-9743&volume=4911
_zRestricted to SpringerLink subscribers
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0826/2008922315-d.html
942 _2ddc
_cBB
999 _c11138
_d11138