Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
189 | Hong-Wei Chen, Ying-Ping Chen |
Introducing fault tolerance to XCS. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
XCS/FT, data mining, fault tolerance, XCS, LCS |
141 | Phillip William Dixon, David Corne, Martin J. Oates |
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool. |
IWLCS |
2001 |
DBLP DOI BibTeX RDF |
|
135 | Pier Luca Lanzi, Daniele Loiacono |
Standard and averaging reinforcement learning in XCS. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
XCS, gradient descent, LCS, RL |
116 | Albert Orriols-Puig, Ester Bernadó-Mansilla |
Bounding XCS's parameters for unbalanced datasets. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
genetic algorithms, machine learning, evolutionary computation, learning classifier systems, class imbalance |
116 | Ester Bernadó-Mansilla, Tin Kam Ho |
Domain of competence of XCS classifier system in complexity measurement space. |
IEEE Trans. Evol. Comput. |
2005 |
DBLP DOI BibTeX RDF |
|
111 | Matthew Gershoff, Sonia Schulenburg |
Collective behavior based hierarchical XCS. |
GECCO (Companion) |
2007 |
DBLP DOI BibTeX RDF |
CB-HXCS, classifier, voting, XCS, multiplexer, information exchange, collective behavior |
111 | Alwyn Barry |
The stability of long action chains in XCS. |
Soft Comput. |
2002 |
DBLP DOI BibTeX RDF |
Action-chain, XCS, Generalisation |
104 | Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla |
Modeling XCS in class imbalances: population size and parameter settings. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
genetic algorithms, machine learning, evolutionary computation, learning classifier systems, class imbalance |
104 | Tim Kovacs |
XCS's Strength-Based Twin: Part I. |
IWLCS |
2002 |
DBLP DOI BibTeX RDF |
|
99 | Thach Huy Nguyen, Sombut Foitong, Phaitoon Srinil, Ouen Pinngern |
Towards Adapting XCS for Imbalance Problems. |
PRICAI |
2008 |
DBLP DOI BibTeX RDF |
Imbalance problem, Genetic Algorithm, Classification, Learning Classifier System, XCS |
99 | Anil Shankar, Sushil J. Louis, Sergiu Dascalu, Ramona Houmanfar, Linda J. Hayes |
XCS for adaptive user-interfaces. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
genetic algorithms, data mining, learning classifier systems, XCS |
99 | Martin V. Butz, Martin Pelikan |
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
Bayesian networks, reinforcement learning, learning classifier systems, XCS |
99 | Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson |
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
locally weighted learning, genetic algorithms, XCS, function approximation, LCS, recursive least squares |
99 | Martin V. Butz |
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. |
GECCO |
2005 |
DBLP DOI BibTeX RDF |
piece-wise linear approximation, radial bases, learning classifier systems, XCS, function approximation, GAs |
92 | Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohara |
Exploring XCS in multiagent environments. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
bucket brigade, profit sharing, learning classifier system, multiagent |
92 | Alwyn Barry |
Limits in Long Path Learning with XCS. |
GECCO |
2003 |
DBLP DOI BibTeX RDF |
|
92 | Martin V. Butz, David E. Goldberg |
Bounding the Population Size in XCS to Ensure Reproductive Opportunities. |
GECCO |
2003 |
DBLP DOI BibTeX RDF |
|
86 | Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà |
On the scalability of XCS(F). |
GECCO |
2009 |
DBLP DOI BibTeX RDF |
lwpr, learning classifier systems, xcs, function approximation, recursive least squares |
86 | Liangdong Shi, Yang Gao 0001, Lei Wu, Lin Shang 0001 |
Clustering with XCS on Complex Structure Dataset. |
Australasian Conference on Artificial Intelligence |
2008 |
DBLP DOI BibTeX RDF |
genetic algorithm, clustering, reinforcement learning, XCS |
86 | Sor Ying (Byron) Wong, Sonia Schulenburg |
Portfolio allocation using XCS experts in technical analysis, market conditions and options market. |
GECCO (Companion) |
2007 |
DBLP DOI BibTeX RDF |
reinforcement learning, economics, learning classifier system, XCS, finance, computational finance, options |
86 | Pier Luca Lanzi, Martin V. Butz, David E. Goldberg |
Empirical analysis of generalization and learning in XCS with gradient descent. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
generalization, XCS, gradient descent, LCS, RL |
86 | Hong-Wei Chen, Ying-Ping Chen |
FTXI: fault tolerance XCS in integer. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
integer representation, data mining, fault tolerance, classification, XCS |
86 | Jan Drugowitsch, Alwyn Barry |
XCS with eligibility traces. |
GECCO |
2005 |
DBLP DOI BibTeX RDF |
eligibility traces, XCS, q-learning, LCS, temporal-difference learning |
80 | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. |
IEEE Trans. Evol. Comput. |
2005 |
DBLP DOI BibTeX RDF |
|
80 | Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice |
Toward an FPGA implementation of XCS. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
80 | Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg |
Extracted global structure makes local building block processing effective in XCS. |
GECCO |
2005 |
DBLP DOI BibTeX RDF |
building block processing, decomposable classification problems, extended compact GA, learning classifier systems, estimation of distribution algorithms, bayesian optimization algorithm |
80 | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. |
GECCO (2) |
2004 |
DBLP DOI BibTeX RDF |
|
80 | Kurian K. Tharakunnel, Martin V. Butz, David E. Goldberg |
Towards Building Block Propagation in XCS: A Negative Result and Its Implications. |
GECCO |
2003 |
DBLP DOI BibTeX RDF |
|
80 | Phillip William Dixon, David Corne, Martin J. Oates |
A Ruleset Reduction Algorithm for the XCS Learning Classifier System. |
IWLCS |
2002 |
DBLP DOI BibTeX RDF |
|
79 | Tim Kovacs |
Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. |
Learning Classifier Systems |
1999 |
DBLP DOI BibTeX RDF |
strong overgeneral classifiers, biased reward functions, accuracy-based fitness, complete covering maps, exploration, XCS |
74 | Kuang-Yuan Chen, Peter A. Lindsay |
Feedback of Delayed Rewards in XCS for Environments with Aliasing States. |
ACAL |
2009 |
DBLP DOI BibTeX RDF |
aliasing states problem, credit assignment, maze problems, Learning Classifier Systems, XCS |
74 | 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. |
Genet. Program. Evolvable Mach. |
2007 |
DBLP DOI BibTeX RDF |
Solution sustenance, Learning classifier systems, XCS, Mutation, LCS, Niching, Markov chain analysis |
74 | Ali Hamzeh, Adel Rahmani |
Intelligent exploration method for XCS. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
adaptive exploration rate, learning classifier systems, exploration, XCS, exploitation |
74 | Ali Hamzeh, Adel Rahmani |
A Fuzzy System to Control Exploration Rate in XCS. |
IWLCS |
2005 |
DBLP DOI BibTeX RDF |
Adaptive Exploration Rate, Learning Classifier Systems, Exploration, XCS, Exploitation |
73 | Xavier Llorà, Kumara Sastry |
Fast rule matching for learning classifier systems via vector instructions. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
fast rule matching, learning classifier systems, Altivec, vector operations, SSE2 |
73 | Pier Luca Lanzi |
Generalization in Wilson's Classifier System. |
PPSN |
1998 |
DBLP DOI BibTeX RDF |
|
68 | WonKyung Park, Jae C. Oh |
New entropy model for extraction of structural information from XCS population. |
GECCO |
2009 |
DBLP DOI BibTeX RDF |
information theory, learning classifier systems, speaker identification |
68 | B. Ravichandran, Avinash Gandhe, Robert E. Smith 0001 |
XCS for robust automatic target recognition. |
GECCO |
2005 |
DBLP DOI BibTeX RDF |
extended operating conditions, generalization, structural learning, automatic target recognition |
68 | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
Effect of Pure Error-Based Fitness in XCS. |
IWLCS |
2005 |
DBLP DOI BibTeX RDF |
|
68 | Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg |
Knowledge Extraction and Problem Structure Identification in XCS. |
PPSN |
2004 |
DBLP DOI BibTeX RDF |
|
68 | Larry Bull, David Ian Wyatt, Ian C. Parmee |
Initial Modifications to XCS for Use in Interactive Evolutionary Design. |
PPSN |
2002 |
DBLP DOI BibTeX RDF |
|
68 | Jacob Hurst, Larry Bull |
A Self-Adaptive XCS. |
IWLCS |
2001 |
DBLP DOI BibTeX RDF |
|
67 | Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi |
Self-adaptive mutation in XCSF. |
GECCO |
2008 |
DBLP DOI BibTeX RDF |
self-adaptation, XCS, mutation, LCS |
62 | Clemens Lode, Urban Richter, Hartmut Schmeck |
Adaption of XCS to multi-learner predator/prey scenarios. |
GECCO |
2010 |
DBLP DOI BibTeX RDF |
coordination task, non-markovian environments, xcs, evolutionary learning, multi-agent learning, agent cooperation |
62 | Hristo Bojinov, Elie Bursztein, Dan Boneh |
XCS: cross channel scripting and its impact on web applications. |
CCS |
2009 |
DBLP DOI BibTeX RDF |
embedded web servers, xss, xcs, web security, embedded devices |
62 | Richard Preen, Larry Bull |
Discrete dynamical genetic programming in XCS. |
GECCO |
2009 |
DBLP DOI BibTeX RDF |
random boolean networks, reinforcement learning, learning classifier systems, self-adaptation, xcs |
62 | Martin V. Butz, Kumara Sastry, David E. Goldberg |
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. |
Genet. Program. Evolvable Mach. |
2005 |
DBLP DOI BibTeX RDF |
learning classifier systems, XCS, genetics based machine learning, tournament selection |
62 | Hai Huong Dam, Hussein A. Abbass, Chris Lokan |
DXCS: an XCS system for distributed data mining. |
GECCO |
2005 |
DBLP DOI BibTeX RDF |
learning classifier system, XCS, MDL, distributed data mining |
62 | Hai Huong Dam, Hussein A. Abbass, Chris Lokan |
Be real! XCS with continuous-valued inputs. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
interval representation, ternary representation, learning classifier system, XCS |
61 | Albert Orriols-Puig, Ester Bernadó-Mansilla |
Mining Imbalanced Data with Learning Classifier Systems. |
Learning Classifier Systems in Data Mining |
2008 |
DBLP DOI BibTeX RDF |
|
61 | Yichang Chen, An-Pin Chen |
A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning. |
ISNN (1) |
2008 |
DBLP DOI BibTeX RDF |
Trial and error, Teaching-base education, Intelligence-Learning, Artificial intelligence, Psychology |
56 | Albert Orriols-Puig, Xavier Llorà, David E. Goldberg |
How XCS deals with rarities in domains with continuous attributes. |
GECCO |
2010 |
DBLP DOI BibTeX RDF |
small disjuncts, learning classifier systems, genetic-based machine learning, class imbalance problem |
56 | Liangdong Shi, Yinghuan Shi, Yang Gao 0001 |
Clustering with XCS and Agglomerative Rule Merging. |
IDEAL |
2009 |
DBLP DOI BibTeX RDF |
rule merging, genetic algorithm, clustering, reinforcement learning, Learning Classifier System |
56 | Thach Huy Nguyen, Pornthep Rojanavasu, Ouen Pinngern |
Cost-Xensitive XCS Classifier System Addressing Imbalance Problems. |
FSKD (2) |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Andrea Bonarini, Matteo Matteucci |
FIXCS: a Fuzzy Implementation of XCS. |
FUZZ-IEEE |
2007 |
DBLP DOI BibTeX RDF |
|
56 | Javier G. Marín-Blázquez, Gregorio Martínez Pérez, Manuel Gil Pérez |
A Linguistic Fuzzy-XCS Classifier System. |
FUZZ-IEEE |
2007 |
DBLP DOI BibTeX RDF |
|
56 | Albert Orriols-Puig, Ester Bernadó-Mansilla |
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS. |
IWLCS |
2007 |
DBLP DOI BibTeX RDF |
|
56 | An-Pin Chen, Yi-Chang Chen, Yu-Hua Huang |
Applying Two-Stage XCS Model on Global Overnight Effect for Local Stock Prediction. |
KES (1) |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Atsushi Wada, Keiki Takadama, Katsunori Shimohara, Osamu Katai |
Analyzing Parameter Sensitivity and Classifier Representations for Real-Valued XCS. |
IWLCS |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Martin V. Butz, David E. Goldberg, Pier Luca Lanzi |
Bounding Learning Time in XCS. |
GECCO (2) |
2004 |
DBLP DOI BibTeX RDF |
|
56 | Yijian Wu, Wenyun Zhao |
XCS System: A New Architecture for Web-Based Applications. |
GCC (2) |
2003 |
DBLP DOI BibTeX RDF |
|
56 | Ester Bernadó i Mansilla, Xavier Llorà, Josep Maria Garrell i Guiu |
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. |
IWLCS |
2001 |
DBLP DOI BibTeX RDF |
|
56 | Stewart W. Wilson |
Mining Oblique Data with XCS. |
IWLCS |
2000 |
DBLP DOI BibTeX RDF |
|
56 | Tim Kovacs, Manfred Kerber |
What Makes a Problem Hard for XCS? |
IWLCS |
2000 |
DBLP DOI BibTeX RDF |
|
56 | Stewart W. Wilson |
State of XCS Classifier System Research. |
Learning Classifier Systems |
1999 |
DBLP DOI BibTeX RDF |
|
56 | Shaun Saxon, Alwyn Barry |
XCS and the Monk's Problems. |
Learning Classifier Systems |
1999 |
DBLP DOI BibTeX RDF |
|
55 | Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu 0001 |
Intrusion detection with evolutionary learning classifier systems. |
Nat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Learning classifier systems, XCS, LCS, Intrusion, UCS |
55 | James A. R. Marshall, Tim Kovacs |
A representational ecology for learning classifier systems. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
GBML, hyperspheres, representation, learning classifier systems, XCS, bias, hyperplanes, No Free Lunch |
55 | Luis Miramontes Hercog, Terence C. Fogarty |
Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem. |
IWLCS |
2001 |
DBLP DOI BibTeX RDF |
El Farol Bar problem, Multi-agent Systems, Learning Classifier Systems, XCS, emergent behaviour |
50 | Richard Preen |
An XCS approach to forecasting financial time series. |
GECCO (Companion) |
2009 |
DBLP DOI BibTeX RDF |
learning classifier systems, xcs, computational finance |
50 | Faten F. Kharbat, Larry Bull, Mohammed Odeh |
Mining breast cancer data with XCS. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
genetic algorithm, data mining, classification, learning classifier systems, XCS, medical informatics |
50 | Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla |
Modeling selection pressure in XCS for proportionate and tournament selection. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
proportionate selection, XCS, LCS, tournament selection |
50 | Alessandro Passaro, Flavio Baronti, Valentina Maggini |
Exploring relationships between genotype and oral cancer development through XCS. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
genetic data, oral cancer, decision trees, learning classifier systems, XCS |
50 | Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong |
Evaluating the XCS learning classifier system in competitive simultaneous learning environments. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
machine learning, reinforcement learning, XCS, LCS, prediction accuracy |
50 | Martin V. Butz, Stewart W. Wilson |
An algorithmic description of XCS. |
Soft Comput. |
2002 |
DBLP DOI BibTeX RDF |
Algorithm, XCS, Classifier system |
48 | Peter Lichodzijewski, Malcolm I. Heywood |
Managing team-based problem solving with symbiotic bid-based genetic programming. |
GECCO |
2008 |
DBLP DOI BibTeX RDF |
classification, genetic programming, efficiency, active learning, supervised learning, coevolution, teaming, problem decomposition |
48 | An-Pin Chen, Yung-Hua Chang |
Using extended classifier system to forecast S&P futures based on contrary sentiment indicators. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
48 | Hai Huong Dam, Hussein A. Abbass, Chris Lokan |
The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environments. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
48 | Hai Huong Dam, Kamran Shafi, Hussein A. Abbass |
Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection. |
Australian Conference on Artificial Intelligence |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Javier G. Marín-Blázquez, Gregorio Martínez Pérez |
Intrusion detection using a linguistic hedged fuzzy-XCS classifier system. |
Soft Comput. |
2009 |
DBLP DOI BibTeX RDF |
|
44 | Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith |
XCS for Fusing Multi-Spectral Data in Automatic Target Recognition. |
Learning Classifier Systems in Data Mining |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Jorge Casillas, Brian Carse, Larry Bull |
Fuzzy-XCS: A Michigan Genetic Fuzzy System. |
IEEE Trans. Fuzzy Syst. |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Brad T. Skinner, H. T. Nguyen, Dikai Liu |
Distributed classifier migration in xcs for classification of electroencephalographic signals. |
IEEE Congress on Evolutionary Computation |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Pier Luca Lanzi |
An analysis of generalization in XCS with symbolic conditions. |
IEEE Congress on Evolutionary Computation |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith 0001 |
Fused, multi-spectral automatic target recognition with XCS. |
GECCO |
2007 |
DBLP DOI BibTeX RDF |
automatic target recognition, rule learning |
44 | Nadine Richard, Samuel Tardieu, Seiji Yamada |
Cascaded generic XCS to learn about reminding preferences. |
GECCO (Companion) |
2007 |
DBLP DOI BibTeX RDF |
adaptive reminders, personal time management, learning classifier systems |
44 | Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg |
XCS with computed prediction for the learning of Boolean functions. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Faten F. Kharbat, Larry Bull, Mohammed Odeh |
Revisiting genetic selection in the XCS learning classifier system. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Flavio Baronti, Alessandro Passaro, Antonina Starita |
Post-processing clustering to reduce XCS variability. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
clustering, learning classifier systems |
44 | John H. Holmes |
Detection of sentinel predictor-class associations with XCS: a sensitivity analysis. |
GECCO Workshops |
2005 |
DBLP DOI BibTeX RDF |
statistical analysis, learning classifier systems, variable selection, statistical computing |
44 | Flavio Baronti, Alessandro Passaro, Antonina Starita |
Post-processing Clustering to Decrease Variability in XCS Induced Rulesets. |
IWLCS |
2005 |
DBLP DOI BibTeX RDF |
|
44 | John H. Holmes |
Detection of Sentinel Predictor-Class Associations with XCS: A Sensitivity Analysis. |
IWLCS |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Martin V. Butz, Kumara Sastry, David E. Goldberg |
Tournament Selection: Stable Fitness Pressure in XCS. |
GECCO |
2003 |
DBLP DOI BibTeX RDF |
|
44 | Pier Luca Lanzi |
Using Raw Accuracy to Estimate Classifier Fitness in XCS. |
GECCO |
2003 |
DBLP DOI BibTeX RDF |
|
44 | Tim Kovacs |
XCS's Strength-Based Twin: Part II. |
IWLCS |
2002 |
DBLP DOI BibTeX RDF |
|
44 | Andy Tomlinson, Larry Bull |
A Corporate XCS. |
Learning Classifier Systems |
1999 |
DBLP DOI BibTeX RDF |
|
43 | Marc Métivier, Claude Lattaud |
Imitation guided learning in learning classifier systems. |
Nat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
ZCS, Learning classifier system, XCS, Imitation, ACS |
43 | Gilles Énée, Mathias Péroumalnaïk |
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments. |
GECCO (Companion) |
2008 |
DBLP DOI BibTeX RDF |
APCS, non markovian multistep environment, strategy, XCS, classifier system |
43 | Davide Aliprandi, Alex Mancastroppa, Matteo Matteucci |
A Bayesian approach to learning classifier systems in uncertain environments. |
GECCO |
2006 |
DBLP DOI BibTeX RDF |
Bayesian Q-learning, exploration strategy, value of information, learning classifier systems, XCS |
43 | Andy Tomlinson, Larry Bull |
An accuracy based corporate classifier system. |
Soft Comput. |
2002 |
DBLP DOI BibTeX RDF |
Rule-linkage, Multi-step tasks, Non-Markov tasks, XCS, Corporations |