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Martin V. Butz :
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Martin V. Butz Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. [Citation Graph (0, 0)][DBLP ] GECCO, 2005, pp:1835-1842 [Conf ] Martin V. Butz , David E. Goldberg , Pier Luca Lanzi Bounding Learning Time in XCS. [Citation Graph (0, 0)][DBLP ] GECCO (2), 2004, pp:739-750 [Conf ] Martin V. Butz , David E. Goldberg , Pier Luca Lanzi Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. [Citation Graph (0, 0)][DBLP ] GECCO (2), 2004, pp:751-762 [Conf ] Martin V. Butz , Pier Luca Lanzi , Stewart W. Wilson Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. [Citation Graph (0, 0)][DBLP ] GECCO, 2006, pp:1457-1464 [Conf ] Martin V. Butz , Martin Pelikan Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. [Citation Graph (0, 0)][DBLP ] GECCO, 2006, pp:1449-1456 [Conf ] Martin V. Butz , Martin Pelikan , Xavier Llorà , David E. Goldberg Extracted global structure makes local building block processing effective in XCS. [Citation Graph (0, 0)][DBLP ] GECCO, 2005, pp:655-662 [Conf ] Martin Pelikan , Kumara Sastry , Martin V. Butz , David E. Goldberg Hierarchical BOA on random decomposable problems. [Citation Graph (0, 0)][DBLP ] GECCO, 2006, pp:431-432 [Conf ] Arnaud Quirin , Jerzy J. Korczak , Martin V. Butz , David E. Goldberg Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. [Citation Graph (0, 0)][DBLP ] ISDA, 2005, pp:280-285 [Conf ] Jaume Bacardit , David E. Goldberg , Martin V. Butz , Xavier Llorà , Josep Maria Garrell i Guiu Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. [Citation Graph (0, 0)][DBLP ] PPSN, 2004, pp:1021-1031 [Conf ] Martin V. Butz , Pier Luca Lanzi , Xavier Llorà , David E. Goldberg Knowledge Extraction and Problem Structure Identification in XCS. [Citation Graph (0, 0)][DBLP ] PPSN, 2004, pp:1051-1060 [Conf ] Cláudio F. Lima , Martin Pelikan , Kumara Sastry , Martin V. Butz , David E. Goldberg , Fernando G. Lobo Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP ] PPSN, 2006, pp:232-241 [Conf ] Martin Pelikan , Kumara Sastry , Martin V. Butz , David E. Goldberg Performance of Evolutionary Algorithms on Random Decomposable Problems. [Citation Graph (0, 0)][DBLP ] PPSN, 2006, pp:788-797 [Conf ] Martin V. Butz , Martin Pelikan , Xavier Llorà , David E. Goldberg Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. [Citation Graph (0, 0)][DBLP ] Evolutionary Computation, 2006, v:14, n:3, pp:345-380 [Journal ] Martin V. Butz , Kumara Sastry , David E. Goldberg Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. [Citation Graph (0, 0)][DBLP ] Genetic Programming and Evolvable Machines, 2005, v:6, n:1, pp:53-77 [Journal ] Martin V. Butz , David E. Goldberg , Pier Luca Lanzi Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2005, v:9, n:5, pp:452-473 [Journal ] Martin V. Butz , Tim Kovacs , Pier Luca Lanzi , Stewart W. Wilson Toward a theory of generalization and learning in XCS. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2004, v:8, n:1, pp:28-46 [Journal ] Martin V. Butz Learning classifier systems. [Citation Graph (0, 0)][DBLP ] GECCO (Companion), 2007, pp:3035-3056 [Conf ] Pier Luca Lanzi , Martin V. Butz , David E. Goldberg Empirical analysis of generalization and learning in XCS with gradient descent. [Citation Graph (0, 0)][DBLP ] GECCO, 2007, pp:1814-1821 [Conf ] Jaume Bacardit , Martin V. Butz Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. [Citation Graph (0, 0)][DBLP ] IWLCS, 2005, pp:282-290 [Conf ] Jaume Bacardit , David E. Goldberg , Martin V. Butz Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. [Citation Graph (0, 0)][DBLP ] IWLCS, 2005, pp:291-307 [Conf ] Martin V. Butz , David E. Goldberg , Pier Luca Lanzi Effect of Pure Error-Based Fitness in XCS. [Citation Graph (0, 0)][DBLP ] IWLCS, 2005, pp:104-114 [Conf ] Giovanni Pezzulo , Gianluca Baldassarre , Martin V. Butz , Cristiano Castelfranchi , Joachim Hoffmann From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. [Citation Graph (0, 0)][DBLP ] SAB ABiALS, 2006, pp:73-93 [Conf ] Martin V. Butz , Olivier Sigaud , Giovanni Pezzulo , Gianluca Baldassarre Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. [Citation Graph (0, 0)][DBLP ] SAB ABiALS, 2006, pp:1-18 [Conf ] Martin V. Butz , David E. Goldberg , Pier Luca Lanzi , Kumara Sastry Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. [Citation Graph (0, 0)][DBLP ] Genetic Programming and Evolvable Machines, 2007, v:8, n:1, pp:5-37 [Journal ] Context-dependent predictions and cognitive arm control with XCSF. [Citation Graph (, )][DBLP ] An analysis of matching in learning classifier systems. [Citation Graph (, )][DBLP ] Self-adaptive mutation in XCSF. [Citation Graph (, )][DBLP ] Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. [Citation Graph (, )][DBLP ] Learning classifier systems. [Citation Graph (, )][DBLP ] Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. [Citation Graph (, )][DBLP ] On the scalability of XCS(F). [Citation Graph (, )][DBLP ] Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. [Citation Graph (, )][DBLP ] NEAT in increasingly non-linear control situations. [Citation Graph (, )][DBLP ] Evolving robust controller parameters using covariance matrix adaptation. [Citation Graph (, )][DBLP ] Learning classifier systems. [Citation Graph (, )][DBLP ] A comparative study: function approximation with LWPR and XCSF. [Citation Graph (, )][DBLP ] Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. [Citation Graph (, )][DBLP ] Encoding Complete Body Models Enables Task Dependent Optimal Behavior. [Citation Graph (, )][DBLP ] Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. [Citation Graph (, )][DBLP ] Learning Classifier Systems: Looking Back and Glimpsing Ahead. [Citation Graph (, )][DBLP ] The Scared Robot: Motivations in a Simulated Robot Arm. [Citation Graph (, )][DBLP ] Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. [Citation Graph (, )][DBLP ] Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. [Citation Graph (, )][DBLP ] Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. [Citation Graph (, )][DBLP ] From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. [Citation Graph (, )][DBLP ] Search in 0.010secs, Finished in 0.313secs