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020 _a9783642319518
_9978-3-642-31951-8
024 7 _a10.1007/978-3-642-31951-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers /
_cedited by Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi.
250 _a1st ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXI, 406 p. 130 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 ;
_v7207
505 0 _aInference and Learning -- Beyond Reward: The Problem of Knowledge and Data -- Exploiting Constraints -- Online Bayesian Inference for the Parameters of PRISM Programs -- Learning Compact Markov Logic Networks with Decision Trees -- Relational Networks of Conditional Preferences -- k-Optimal: A Novel Approximate Inference Algorithm for ProbLog -- Learning Directed Relational Models with Recursive Dependencies -- Integrating Model Checking and Inductive Logic Programming -- Inductive Logic Programming in Answer Set Programming -- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm -- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models -- Conceptual Clustering of Multi-Relational Data -- Expressive Power of Safe First-Order Logical Decision Trees -- Relational Learning for Spatial Relation Extraction from Natural.
520 _aThis book constitutes the thoroughly refereed post-proceedings of the 21st International Conference on Inductive Logic Programming, ILP 2011, held in Windsor Great Park, UK, in July/August 2011. The 24 revised full papers were carefully reviewed and selected from 66 submissions. Also included are five extended abstracts and three invited talks. The papers represent the diversity and vitality in present ILP research including ILP theory, implementations, probabilistic ILP, biological applications, sub-group discovery, grammatical inference, relational kernels, learning of Petri nets, spatial learning, graph-based learning, and learning of action models.
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine theory.
_9132294
650 0 _aComputer programming.
_94169
650 0 _aComputer science.
_99832
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aFormal Languages and Automata Theory.
_9132295
650 2 4 _aProgramming Techniques.
_9132296
650 2 4 _aComputer Science Logic and Foundations of Programming.
_942203
650 2 4 _aTheory of Computation.
_9132297
700 1 _aMuggleton, Stephen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132298
700 1 _aTamaddoni-Nezhad, Alireza.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132299
700 1 _aLisi, Francesca A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132300
710 2 _aSpringerLink (Online service)
_9132301
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642319501
776 0 8 _iPrinted edition:
_z9783642319525
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7207
_9132302
856 4 0 _uhttps://doi.org/10.1007/978-3-642-31951-8
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