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020 _a9783540859284
_99783540859284
024 7 _a10.1007/9783540859284
_2doi
035 _avtls000352156
039 9 _a201509030934
_bVLOAD
_c201405060301
_dVLOAD
_y201402171154
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aŽelezný, Filip.
_eeditor.
_9335593
245 1 0 _aInductive Logic Programming :
_b18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008 Proceedings /
_cedited by Filip Železný, Nada Lavra?.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5194
500 _aSpringer eBooks
505 0 _aInvited Talks -- Building Theories of the World: Human and Machine Learning Perspectives -- SRL without Tears: An ILP Perspective -- Semantic Web Meets ILP: Unconsumated Love, or No Love Lost? -- Learning Expressive Models of Gene Regulation -- Information Overload and FP7 Funding Opportunities in 2009-10 -- Research Papers -- A Model to Study Phase Transition and Plateaus in Relational Learning -- Top-Down Induction of Relational Model Trees in Multi-instance Learning -- Challenges in Relational Learning for Real-Time Systems Applications -- Discriminative Structure Learning of Markov Logic Networks -- An Experiment in Robot Discovery with ILP -- Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples -- DL-FOIL Concept Learning in Description Logics -- Feature Discovery with Type Extension Trees -- Feature Construction Using Theory-Guided Sampling and Randomised Search -- Foundations of Onto-Relational Learning -- L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning -- Logical Hierarchical Hidden Markov Models for Modeling User Activities -- Learning with Kernels in Description Logics -- Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms -- A Comparison between Two Statistical Relational Models -- Brave Induction -- A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases -- A Note on Refinement Operators for IE-Based ILP Systems -- Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach -- Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining.
520 _aThis book constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008. The 20 revised full papers presented together with the abstracts of 5 invited lectures were carefully reviewed and selected during two rounds of reviewing and improvement from 46 initial submissions. All current topics in inductive logic programming are covered, ranging from theoretical and methodological issues to advanced applications. The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLavra?, Nada.
_eeditor.
_9332311
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540859277
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-85928-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c298946
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