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001			298994
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2008 gw | o |||| 0|eng d
020			_a9783540881384 _99783540881384
024	7		_a10.1007/9783540881384 _2doi
035			_avtls000352311
039		9	_a201509030937 _bVLOAD _c201405060304 _dVLOAD _y201402171158 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ334-342
100	1		_aBacardit, Jaume. _eeditor. _9335674
245	1	0	_aLearning Classifier Systems : _b10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers / _cedited by Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama.
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 ; _v4998
500			_aSpringer eBooks
505	0		_aLearning Classifier Systems: Looking Back and Glimpsing Ahead -- Knowledge Representations -- Analysis of Population Evolution in Classifier Systems Using Symbolic Representations -- Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets -- Evolving Fuzzy Rules with UCS: Preliminary Results -- Analysis of the System -- A Principled Foundation for LCS -- Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS -- Mechanisms -- Analysis and Improvements of the Classifier Error Estimate in XCSF -- A Learning Classifier System with Mutual-Information-Based Fitness -- On Lookahead and Latent Learning in Simple LCS -- A Learning Classifier System Approach to Relational Reinforcement Learning -- Linkage Learning, Rule Representation, and the ?-Ary Extended Compact Classifier System -- New Directions -- Classifier Conditions Using Gene Expression Programming -- Evolving Classifiers Ensembles with Heterogeneous Predictors -- Substructural Surrogates for Learning Decomposable Classification Problems -- Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System -- Applications -- Technology Extraction of Expert Operator Skills from Process Time Series Data -- Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
520			_aThis book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aBernadó-Mansilla, Ester. _eeditor. _9334924
700	1		_aButz, Martin V. _eeditor. _9328706
700	1		_aKovacs, Tim. _eeditor. _9328935
700	1		_aLlorà, Xavier. _eeditor. _9335675
700	1		_aTakadama, Keiki. _eeditor. _9328481
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540881377
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-88138-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c298994 _d298994