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020			_a9783540695837 _9978-3-540-69583-7
024	7		_a10.1007/3-540-63494-0 _2doi
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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.
250			_a1st ed. 1997.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _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 Artificial Intelligence, _x2945-9141 ; _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 systems.
650		0	_aSoftware engineering.
650		0	_aArtificial intelligence.
650		0	_aComputer programming.
650	1	4	_aComputer System Implementation.
650	2	4	_aSoftware Engineering.
650	2	4	_aArtificial Intelligence.
650	2	4	_aProgramming Techniques.
700	1		_aMuggleton, Stephen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540634942
776	0	8	_iPrinted edition: _z9783662186947
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1314
856	4	0	_uhttps://doi.org/10.1007/3-540-63494-0
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