000			04949nam a22006015i 4500
001			978-3-642-38812-5
003			DE-He213
005			20240423125932.0
007			cr nn 008mamaa
008			130605s2013 gw | s |||| 0|eng d
020			_a9783642388125 _9978-3-642-38812-5
024	7		_a10.1007/978-3-642-38812-5 _2doi
050		4	_aQA267-268.5
072		7	_aUYA _2bicssc
072		7	_aCOM014000 _2bisacsh
072		7	_aUYA _2thema
082	0	4	_a005.131 _223
245	1	0	_aInductive Logic Programming _h[electronic resource] : _b22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 16-18,2012, Revised Selected papers / _cedited by Fabrizio Riguzzi, Filip Zelezny.
250			_a1st ed. 2013.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aX, 273 p. 81 illus. _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 ; _v7842
505	0		_aA Relational Approach to Tool-Use Learning in Robots -- A Refinement Operator for Inducing Threaded-Variable Clauses -- Propositionalisation of Continuous Attributes beyond Simple Aggregation -- Topic Models with Relational Features for Drug Design -- Pairwise Markov Logic -- Evaluating Inference Algorithms for the Prolog Factor Language -- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns -- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets -- Bounded Least General Generalization -- Itemset-Based Variable Construction in Multi-relational Supervised Learning -- A Declarative Modeling Language for Concept Learning in Description Logics -- Identifying Driver’s Cognitive Load Using Inductive Logic Programming -- Opening Doors: An Initial SRL Approach -- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling -- What Kinds of Relational Features Are Useful for Statistical Learning? -- Learning Dishonesty -- Heuristic Inverse Subsumption in Full-Clausal Theories -- Learning Unordered Tree Contraction Patterns in Polynomial TimeA Relational Approach to Tool-Use Learning in Robots -- A Refinement Operator for Inducing Threaded-Variable Clauses -- Propositionalisation of Continuous Attributes beyond Simple Aggregation -- Topic Models with Relational Features for Drug Design -- Pairwise Markov Logic -- Evaluating Inference Algorithms for the Prolog Factor Language -- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns -- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets -- Bounded Least General Generalization -- Itemset-Based Variable Construction in Multi-relational Supervised Learning -- A Declarative Modeling Language for Concept Learning in Description Logics -- Identifying Driver’s Cognitive Load Using Inductive Logic Programming -- Opening Doors: An Initial SRL Approach -- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling -- What Kinds of Relational Features Are Useful for StatisticalLearning?.-Learning Dishonesty.-Heuristic Inverse Subsumption in Full-Clausal Theories.-Learning Unordered Tree Contraction Patterns in Polynomial Time.
520			_aThis book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.
650		0	_aMachine theory.
650		0	_aArtificial intelligence.
650		0	_aComputer programming.
650		0	_aComputer science.
650	1	4	_aFormal Languages and Automata Theory.
650	2	4	_aArtificial Intelligence.
650	2	4	_aProgramming Techniques.
650	2	4	_aComputer Science Logic and Foundations of Programming.
650	2	4	_aTheory of Computation.
650	2	4	_aComputer Science.
700	1		_aRiguzzi, Fabrizio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZelezny, Filip. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783642388118
776	0	8	_iPrinted edition: _z9783642388132
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v7842
856	4	0	_uhttps://doi.org/10.1007/978-3-642-38812-5
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
912			_aZDB-2-LNC
942			_cSPRINGER
999			_c183276 _d183276