Search results for "XCS"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
39	Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama	XCS-DH: Minimal default hierarchies in XCS.	CEC	2016	DBLP DOI BibTeX RDF
39	Tom Pickering, Tim Kovacs	TP-XCS: An XCS classifier system with fixed-length memory for reinforcement learning.	CEC	2015	DBLP DOI BibTeX RDF
39	Muhammad Iqbal 0001, Will N. Browne, Mengjie Zhang 0001	Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.	Soft Comput.	2013	DBLP DOI BibTeX RDF
39	Sergio Morales-Ortigosa, Albert Orriols-Puig, Ester Bernadó-Mansilla	Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with Genetic Algorithms based XCS.	CCIA	2008	DBLP DOI BibTeX RDF
38	Maciej Troc, Olgierd Unold	Self-Adaptation of Parameters in a XCS-Based Ensemble Machine.	HIS	2008	DBLP DOI BibTeX RDF	Ensemble Machine, Learning Classifier System, XCS
38	Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg	XCS with computed prediction in multistep environments.	GECCO	2005	DBLP DOI BibTeX RDF	generalization, XCS, LCS, RL
36	Mani Abedini, Michael Kirley	CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF
36	Anil Shankar, Sushil J. Louis	Learning classifier systems for user context learning.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
36	Stewart W. Wilson	Classifier Systems for Continuous Payoff Environments.	GECCO (2)	2004	DBLP DOI BibTeX RDF
32	Faten F. Kharbat, Mohammed Odeh, Larry Bull	Knowledge Discovery from Medical Data: An Empirical Study with XCS.	Learning Classifier Systems in Data Mining	2008	DBLP DOI BibTeX RDF
32	Urban Richter, Holger Prothmann, Hartmut Schmeck	Improving XCS Performance by Distribution.	SEAL	2008	DBLP DOI BibTeX RDF
32	Kamran Shafi, Hussein A. Abbass, Weiping Zhu 0001	The Role of Early Stopping and Population Size in XCS for Intrusion Detection.	SEAL	2006	DBLP DOI BibTeX RDF
32	Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg	XCS with computed prediction in continuous multistep environments.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
32	John H. Holmes, Jennifer A. Sager, Warren B. Bilker	Three Methods for Covering Missing Input Data in XCS.	IWLCS	2005	DBLP DOI BibTeX RDF
32	David Ian Wyatt, Larry Bull, Ian C. Parmee	Using XCS to Describe Continuous-Valued Problem Spaces.	IWLCS	2005	DBLP DOI BibTeX RDF
32	Jaume Bacardit, Martin V. Butz	Data Mining in Learning Classifier Systems: Comparing XCS with GAssist.	IWLCS	2005	DBLP DOI BibTeX RDF
32	Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto	System Level Hardware-Software Design Exploration with XCS.	GECCO (2)	2004	DBLP DOI BibTeX RDF
32	Andrew Webb, Emma Hart, Peter Ross, Alistair Lawson	Controlling a Simulated Khepera with an XCS Classifier System with Memory.	ECAL	2003	DBLP DOI BibTeX RDF
32	Martin V. Butz, Stewart W. Wilson	An Algorithmic Description of XCS.	IWLCS	2000	DBLP DOI BibTeX RDF
32	Stewart W. Wilson	Get Real! XCS with Continuous-Valued Inputs.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
31	Ryan J. Urbanowicz, Jason H. Moore	The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies.	GECCO	2010	DBLP DOI BibTeX RDF	gene association study, genetic heterogeneity, snp, genetic algorithm, learning classifier system, xcs, genetics-based machine learning, epistasis, ucs, mcs
31	Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph	Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control.	GECCO	2009	DBLP DOI BibTeX RDF	lwpr, learning classifier systems, dynamic systems, XCS, function approximation, recursive least squares
31	Karthik Kuber, Chilukuri K. Mohan	Biasing evolving generations in learning classifier systems using information theoretic measures.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	biased evolution, genetic algorithms, information theory, learning classifier systems, xcs, sufficiency
31	Drew Mellor, Steven P. Nicklin	A population-based approach to finding the matchset of a learning classifier system efficiently.	GECCO	2009	DBLP DOI BibTeX RDF	efficient matching, learning classifier systems, xcs, lcs
31	Tim Kovacs, Larry Bull	Toward a better understanding of rule initialisation and deletion.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	fitness initialisation, learning classifier systems, XCS, deletion, steady state genetic algorithms
31	Martin V. Butz	Learning classifier systems.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	ALCS, classification, prediction, reinforcement learning, XCS, function approximation
31	Pier Luca Lanzi, Stefano Rocca, Stefania Solari	An approach to analyze the evolution of symbolic conditions in learning classifier systems.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	symbolic conditions, representation, XCS, LCS
31	Pier Luca Lanzi, Daniele Loiacono	Classifier systems that compute action mappings.	GECCO	2007	DBLP DOI BibTeX RDF	action mappings, XCS, LCS
31	Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg	Extending XCSF beyond linear approximation.	GECCO	2005	DBLP DOI BibTeX RDF	XCS, function approximation, least squares, LCS
31	Drew Mellor	A first order logic classifier system.	GECCO	2005	DBLP DOI BibTeX RDF	blocks world, learning classifier system, first order logic, Xcs, relational learning, poker
31	Albert C. Esterline, Chafic BouSaba, Abdollah Homaifar, Dan Rodgers	A framework for learning coordinated behavior.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	coordinated behavior, parts/whole statecharts, semantics, XCS
31	Drew Mellor	Policy transfer with a relational learning classifier system.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	blocks world, policy transfer, learning classifier system, first order logic, XCS, relational learning
31	Luis Miramontes Hercog	Co-evolutionary Agent Self-Organization for City Traffic Congestion Modeling.	GECCO (2)	2004	DBLP DOI BibTeX RDF	Road traffic self-organization, Learning Classifier Systems, XCS, Emergent behavior, heterogeneous agents
31	Tim Kovacs	What should a classifier system learn and how should we measure it?	Soft Comput.	2002	DBLP DOI BibTeX RDF	Learning metrics, Minimisation of expressions, Boolean functions, Representation, XCS, Classifier systems
31	Pier Luca Lanzi	Learning classifier systems from a reinforcement learning perspective.	Soft Comput.	2002	DBLP DOI BibTeX RDF	Genetic algorithms, Reinforcement learning, XCS, Q-learning
24	Martin V. Butz	Learning classifier systems.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	genetic algorithms, machine learning, reinforcement learning, regression, adaptive systems, learning classifier systems, function approximation, cognitive systems, datamining
24	Carlos D. Toledo-Suárez	A first assessment of the use of extended relational alphabets in accuracy classifier systems.	GECCO	2010	DBLP DOI BibTeX RDF	parity problem, relational alphabets, relational schemata, st-alphabets, classifier systems
24	Kreangsak Tamee, Pornthep Rojanavasu, Sonchai Udomthanapong, Ouen Pinngern	Using Self-Organizing Maps with Learning Classifier System for Intrusion Detection.	PRICAI	2008	DBLP DOI BibTeX RDF	Intrusion Detection, Self-Organizing Map, LCS
24	Patrick O. Stalph, Martin V. Butz	Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	reproduction, learning classifier systems, selection pressure, XCSF
24	Maciej Troc, Olgierd Unold	Learning Classifier System with Self-adaptive Discovery Mechanism.	NICSO	2007	DBLP DOI BibTeX RDF
24	Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi	Support vector machines for computing action mappings in learning classifier systems.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
24	Kamran Shafi, Hussein A. Abbass, Weiping Zhu 0001	Real time signature extraction from a supervised classifier system.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
24	Larry Bull, Toby O'Hara, Pier Luca Lanzi	Anticipation mappings for learning classifier systems.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
24	Trung Hau Tran, Cédric Sanza, Yves Duthen, Thuc Dinh Nguyen	XCSF with computed continuous action.	GECCO	2007	DBLP DOI BibTeX RDF	continuous actions, evolution strategy, XCSF
24	Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini	Evolving Classifiers Ensembles with Heterogeneous Predictors.	IWLCS	2007	DBLP DOI BibTeX RDF
24	Drew Mellor	A Learning Classifier System Approach to Relational Reinforcement Learning.	IWLCS	2007	DBLP DOI BibTeX RDF
24	Martin V. Butz	Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems.	HIS	2007	DBLP DOI BibTeX RDF
24	Matthew Studley, Larry Bull	X-TCS: accuracy-based learning classifier system robotics.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
24	Shumei Liu, Tomoharu Nagao	Adaptive XCSM for Perceptual Aliasing Problems.	ICNC (3)	2005	DBLP DOI BibTeX RDF
24	Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross	Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems.	GECCO	2005	DBLP DOI BibTeX RDF	optimization, evolutionary computation, classifier systems, hyper-heuristics, cutting stock
24	An-Pin Chen, Yi-Chang Chen, Wen-Chuan Tseng	Applying Extending Classifier System to Develop an Option-Operation Suggestion Model of Intraday Trading - An Example of Taiwan Index Option.	KES (1)	2005	DBLP DOI BibTeX RDF
24	Ali Hamzeh, Adel Rahmani	An Evolutionary Function Approximation Approach to Compute Prediction in XCSF.	ECML	2005	DBLP DOI BibTeX RDF
24	Christopher Stone, Larry Bull	Towards Learning Classifier Systems for Continuous-Valued Online Environments.	GECCO	2003	DBLP DOI BibTeX RDF
24	Devon Dawson	Improving Performance in Size-Constrained Extended Classifier Systems.	GECCO	2003	DBLP DOI BibTeX RDF
24	William N. L. Browne	Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System.	IWLCS	2002	DBLP DOI BibTeX RDF
24	Tim Kovacs	Two Views of Classifier Systems.	IWLCS	2001	DBLP DOI BibTeX RDF
19	Jordan T. Bishop, Marcus Gallagher, Will N. Browne	Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS.	CoRR	2023	DBLP DOI BibTeX RDF
19	Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama	Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS.	GECCO	2023	DBLP DOI BibTeX RDF
19	Tim Hansmeier	XCS for Self-awareness in Autonomous Computing Systems.		2023	RDF
19	Alexander R. M. Wagner, Anthony Stein	Mechanisms to Alleviate Over-Generalization in XCS for Continuous-Valued Input Spaces.	SN Comput. Sci.	2022	DBLP DOI BibTeX RDF
19	Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama	Beta Distribution based XCS Classifier System.	CEC	2022	DBLP DOI BibTeX RDF
19	Tim Hansmeier, Marco Platzner	Integrating Safety Guarantees into the Learning Classifier System XCS.	EvoApplications	2022	DBLP DOI BibTeX RDF
19	Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama	Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS.	EvoApplications	2022	DBLP DOI BibTeX RDF
19	Jordan T. Bishop, Marcus Gallagher, Will N. Browne	Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS.	GECCO	2022	DBLP DOI BibTeX RDF
19	Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama	Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs.	GECCO	2022	DBLP DOI BibTeX RDF
19	Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama	Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension.	GECCO	2022	DBLP DOI BibTeX RDF
19	Mathis Brede, Tim Hansmeier, Marco Platzner	XCS on embedded systems: an analysis of execution profiles and accelerated classifier deletion.	GECCO Companion	2022	DBLP DOI BibTeX RDF
19	Hao Chen 0099, Chang Wang, Jian Huang 0010, Jianxing Gong	Efficient use of heuristics for accelerating XCS-based policy learning in Markov games.	Swarm Evol. Comput.	2021	DBLP DOI BibTeX RDF
19	Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama	XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data.	CEC	2021	DBLP DOI BibTeX RDF
19	Trung B. Nguyen, Will N. Browne, Mengjie Zhang 0001	Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.	CEC	2021	DBLP DOI BibTeX RDF
19	Johannes Büttner, Sebastian von Mammen	Training a Reinforcement Learning Agent based on XCS in a Competitive Snake Environment.	CoG	2021	DBLP DOI BibTeX RDF
19	Alexander R. M. Wagner, Anthony Stein	On the Effects of Absumption for XCS with Continuous-Valued Inputs.	EvoApplications	2021	DBLP DOI BibTeX RDF
19	Tim Hansmeier, Marco Platzner	An experimental comparison of explore/exploit strategies for the learning classifier system XCS.	GECCO Companion	2021	DBLP DOI BibTeX RDF
19	Yoshiki Nakamura 0003, Motoki Horiuchi, Masaya Nakata	Convergence analysis of rule-generality on the XCS classifier system.	GECCO	2021	DBLP DOI BibTeX RDF
19	Tim Hansmeier	Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS.	HEART	2021	DBLP DOI BibTeX RDF
19	Motoki Horiuchi, Masaya Nakata	Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme.	SSCI	2021	DBLP DOI BibTeX RDF
19	Hafiz Asadul Rehman, Muhammad Iqbal 0001, Irfan Younas, Maryam Bashir	Learning Regular Expressions Using XCS-Based Classifier System.	Int. J. Pattern Recognit. Artif. Intell.	2020	DBLP DOI BibTeX RDF
19	Hao Chen 0099, Chang Wang, Jian Huang 0010, Jiangtao Kong, Hanqiang Deng	XCS with opponent modelling for concurrent reinforcement learners.	Neurocomputing	2020	DBLP DOI BibTeX RDF
19	Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner	XCS Classifier System with Experience Replay.	CoRR	2020	DBLP BibTeX RDF
19	Hao Chen 0099, Chang Wang, Jian Huang 0010, Jianxing Gong	Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games.	CoRR	2020	DBLP BibTeX RDF
19	Trung B. Nguyen, Will N. Browne, Mengjie Zhang 0001	Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.	CoRR	2020	DBLP BibTeX RDF
19	Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama	Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS.	CEC	2020	DBLP DOI BibTeX RDF
19	Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner	XCS as a reinforcement learning approach to automatic test case prioritization.	GECCO Companion	2020	DBLP DOI BibTeX RDF
19	Motoki Horiuchi, Masaya Nakata	Self-adaptation of XCS learning parameters based on learning theory.	GECCO	2020	DBLP DOI BibTeX RDF
19	Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner	XCS classifier system with experience replay.	GECCO	2020	DBLP DOI BibTeX RDF
19	Zheming Zhang, Will N. Browne, Dale A. Carnegie	XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems.	CEC	2019	DBLP DOI BibTeX RDF
19	Trung B. Nguyen, Will N. Browne, Mengjie Zhang 0001	Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction.	CEC	2019	DBLP DOI BibTeX RDF
19	Takato Tatsumi, Keiki Takadama	Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments.	CEC	2019	DBLP DOI BibTeX RDF
19	Masaya Nakata, Will Neil Browne	How XCS can prevent misdistinguishing rule accuracy: a preliminary study.	GECCO (Companion)	2019	DBLP DOI BibTeX RDF
19	Trung B. Nguyen, Will N. Browne, Mengjie Zhang 0001	Improvement of code fragment fitness to guide feature construction in XCS.	GECCO	2019	DBLP DOI BibTeX RDF
19	Takato Tatsumi, Keiki Takadama	XCS-CR for handling input, output, and reward noise.	GECCO (Companion)	2019	DBLP DOI BibTeX RDF
19	David Pätzel, Anthony Stein, Jörg Hähner	A survey of formal theoretical advances regarding XCS.	GECCO (Companion)	2019	DBLP DOI BibTeX RDF
19	Anthony Stein	Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems.		2019	RDF
19	Satvik Jain, Siddharth Verma, Swaraj Kumar, Swati Aggarwal	An Evolutionary Learning Approach to Play Othello Using XCS.	CEC	2018	DBLP DOI BibTeX RDF
19	Xiu Cheng, Will N. Browne, Mengjie Zhang 0001	Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.	CEC	2018	DBLP DOI BibTeX RDF
19	Takato Tatsumi, Keiki Takadama	XCS for Missing Attributes in Data.	SCIS&ISIS	2018	DBLP DOI BibTeX RDF
19	Masaya Nakata, Will N. Browne, Tomoki Hamagami	Theoretical adaptation of multiple rule-generation in XCS.	GECCO	2018	DBLP DOI BibTeX RDF
19	David Pätzel, Jörg Hähner	An algebraic description of XCS.	GECCO (Companion)	2018	DBLP DOI BibTeX RDF
19	Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama	Classifier generalization for comprehensive classifiers subsumption in XCS.	GECCO (Companion)	2018	DBLP DOI BibTeX RDF
19	Takato Tatsumi, Tim Kovacs, Keiki Takadama	XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise.	GECCO (Companion)	2018	DBLP DOI BibTeX RDF