Martin V. Butz

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Indice H	41	20
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David E. GoldbergFounder & President, Big Beacon & Professor Emeritus, UIUCEmail verificata su threejoy.com
Oliver HerbortJulius-Maximilians-Universität WürzburgEmail verificata su psychologie.uni-wuerzburg.de
Pier Luca LanziPolitecnico di MilanoEmail verificata su polimi.it
Olivier Sigaudprofesseur d'informatique, Sorbonne UniversitéEmail verificata su upmc.fr
Giovanni PezzuloNational Research Council of Italy, RomeEmail verificata su istc.cnr.it
Martin PelikanResearcher, AppleEmail verificata su martinpelikan.net
Joachim HoffmannProfessor für Kognitive PsychologieEmail verificata su psychologie.uni-wuerzburg.de
Anna BelardinelliGuest Scientist, Honda Research Institute EuropeEmail verificata su honda-ri.de
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, Italian National ResearchEmail verificata su istc.cnr.it
Fabian SchrodtUniversity of TuebingenEmail verificata su uni-tuebingen.de
Jaume BacarditReader in Machine Learning, Newcastle UniversityEmail verificata su newcastle.ac.uk
Cristiano CastelfranchiInstitute of Cognitive Sciences and Technologies - CNREmail verificata su istc.cnr.it
Tim KovacsUniversity of BristolEmail verificata su cs.bris.ac.uk
Tobias MeilingerMax Planck Institute for Biological CyberneticsEmail verificata su tuebingen.mpg.de
Daniele LoiaconoPolitecnico di MilanoEmail verificata su polimi.it
Andrea KieselUniversity of FreiburgEmail verificata su psychologie.uni-freiburg.de
Heinrich H. BülthoffDirector at Max Planck Institute for Biological CyberneticsEmail verificata su tuebingen.mpg.de
Wilfried KundeProfessor of Psychology, University of WuerzburgEmail verificata su psychologie.uni-wuerzburg.de
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiEmail verificata su nyu.edu
Mike PreussUniversiteit LeidenEmail verificata su liacs.leidenuniv.nl

Martin V. Butz

Professor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität Tübingen

Email verificata su uni-tuebingen.de - Home page

Cognitive Science Machine Learning Cognitive Models Anticipation Bayesian Modeling


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
An algorithmic description of XCS MV Butz, SW Wilson Soft Computing 6 (3-4), 144-153, 2002	627	2002
Toward a theory of generalization and learning in XCS MV Butz, T Kovacs, PL Lanzi, SW Wilson IEEE transactions on evolutionary computation 8 (1), 28-46, 2004	252	2004
Rule-based evolutionary online learning systems MV Butz Springer-Verlag, 2006	211	2006
Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior MV Butz, O Sigaud, G Pezzulo, G Baldassarre Springer-Verlag Berlin Heidelberg, 2007	156*	2007
Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy MV Butz, DE Goldberg, K Tharakunnel Evolutionary Computation 11 (3), 2003	120	2003
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems MV Butz, O Sigaud, P Gérard Springer-Verlag Berlin Heidelberg, 2003	116	2003
Function approximation with XCS: Hyperellipsoidal conditions, recursive least squares, and compaction MV Butz, PL Lanzi, SW Wilson IEEE Transactions on Evolutionary Computation 12 (3), 355-376, 2008	114	2008
Internal models and anticipations in adaptive learning systems MV Butz, O Sigaud, P Gerard Anticipatory behavior in adaptive learning systems, 86-109, 2003	112	2003
The 2009 simulated car racing championship D Loiacono, PL Lanzi, J Togelius, E Onieva, DA Pelta, MV Butz, ... IEEE Transactions on Computational Intelligence and AI in Games 2 (2), 131-147, 2010	111	2010
Anticipatory learning classifier systems MV Butz Springer Science & Business Media, 2012	102	2012
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, MV Butz Learning Classifier Systems, 282-290, 2003	101	2003
Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems MV Butz, DE Goldberg, PL Lanzi IEEE Transactions on Evolutionary Computation 9 (5), 452-473, 2005	100	2005
Anticipatory behavior: Exploiting knowledge about the future to improve current behavior MV Butz, O Sigaud, P Gérard Anticipatory behavior in adaptive learning systems, 1-10, 2003	98	2003
Exploiting redundancy for flexible behavior: Unsupervised learning in a modular sensorimotor control architecture. MV Butz, O Herbort, J Hoffmann Psychological Review 114 (4), 1015, 2007	94	2007
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	84	2001
Tournament selection: Stable fitness pressure in XCS MV Butz, K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 1857-1869, 2003	82	2003
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system MV Butz Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	79	2005
Habitual and goal-directed factors in (everyday) object handling O Herbort, MV Butz Experimental Brain Research 213 (4), 371, 2011	67	2011
Automated global structure extraction for effective local building block processing in XCS MV Butz, M Pelikan, X Llora, DE Goldberg Evolutionary Computation 14 (3), 345-380, 2006	64	2006
Optimized sensory-motor couplings plus strategy extensions for the torcs car racing challenge MV Butz, TD Lonneker 2009 IEEE symposium on computational intelligence and games, 317-324, 2009	63	2009

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