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020 _a9783540881384
_9978-3-540-88138-4
024 7 _a10.1007/978-3-540-88138-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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245 1 0 _aLearning Classifier Systems
_h[electronic resource] :
_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.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aX, 307 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 ;
_v4998
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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer programming.
_94169
650 0 _aCompilers (Computer programs).
_93350
650 0 _aMachine theory.
_9132655
650 0 _aData mining.
_93907
650 0 _aComputer science.
_99832
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aProgramming Techniques.
_9132656
650 2 4 _aCompilers and Interpreters.
_931853
650 2 4 _aFormal Languages and Automata Theory.
_9132657
650 2 4 _aData Mining and Knowledge Discovery.
_9132658
650 2 4 _aModels of Computation.
_931806
700 1 _aBacardit, Jaume.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132659
700 1 _aBernadó-Mansilla, Ester.
_eeditor.
_4edt
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_9132660
700 1 _aButz, Martin V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132661
700 1 _aKovacs, Tim.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132662
700 1 _aLlorà, Xavier.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132663
700 1 _aTakadama, Keiki.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9132664
710 2 _aSpringerLink (Online service)
_9132665
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540881377
776 0 8 _iPrinted edition:
_z9783540882190
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4998
_9132666
856 4 0 _uhttps://doi.org/10.1007/978-3-540-88138-4
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