000 03939nam a22004935i 4500
001 978-3-540-69583-7
003 DE-He213
005 20160624102058.0
007 cr nn 008mamaa
008 121227s1997 gw | s |||| 0|eng d
020 _a9783540695837
_9978-3-540-69583-7
024 7 _a10.1007/3-540-63494-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b6th International Workshop, ILP-96 Stockholm, Sweden, August 26–28, 1996 Selected Papers /
_cedited by Stephen Muggleton.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1997.
300 _aX, 402 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
_x0302-9743 ;
_v1314
505 0 _aInductive logic programming for natural language processing -- An initial experiment into stereochemistry-based drug design using inductive logic programming -- Applying ILP to diterpene structure elucidation from 13C NMR spectra -- Analysis and prediction of piano performances using inductive logic programming -- Noise detection and elimination applied to noise handling in a KRK chess endgame -- Feature construction with inductive logic programming: A study of quantitative predictions of biological activity by structural attributes -- Polynomial-time learning in logic programming and constraint logic programming -- Analyzing and learning ECG waveforms -- Learning rules that classify ocular fundus images for glaucoma diagnosis -- A new design and implementation of progol by bottom-up computation -- Inductive logic program synthesis with DIALOGS -- Relational knowledge discovery in databases -- Efficient ?-subsumption based on graph algorithms -- Integrity constraints in ILP using a Monte Carlo approach -- Restructuring chain datalog programs -- Top-down induction of logic programs from incomplete samples -- Least generalizations under implication -- Efficient proof encoding -- Learning Logic programs with random classification noise -- Handling Quantifiers in ILP -- Learning from positive data -- ?-Subsumption and its application to learning from positive-only examples.
520 _aThis book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aProgramming Techniques.
700 1 _aMuggleton, Stephen.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540634942
786 _dSpringer
830 0 _aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
_x0302-9743 ;
_v1314
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-63494-0
942 _2EBK7265
_cEBK
999 _c36559
_d36559