Search results for "Genetics-based machine learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Xavier Llorà, Anusha Priya, Rohit Bhargava	Observer-invariant histopathology using genetics-based machine learning.	Natural Computing	2009	DBLP DOI BibTeX RDF	Observer-invariant histopathology, Vector instruction, MPI, Learning Classifier Systems, Hardware acceleration, Massive parallelism, Genetics-based machine learning, SSE2
3	Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera	A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Non-parametric tests, Cohen’s kappa, Genetic algorithms, Classification, Interpretability, Statistical tests, Genetics-based machine learning
3	Jaume Bacardit, Xavier Llorà	Large scale data mining using genetics-based machine learning.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	parallel computing, evolutionary algorithms, data-intensive computing, genetics-based machine learning, efficiency enhancement, large-scale datasets
3	Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.	GECCO	2007	DBLP DOI BibTeX RDF	DSMGA, fitness estimation, surrogate fitness, xeCCS, learning classifier system, EDA, genetics-based machine learning
2	Jaume Bacardit, Natalio Krasnogor	Fast rule representation for continuous attributes in genetics-based machine learning.	GECCO	2008	DBLP DOI BibTeX RDF	fast rule representation, large datasets, genetics-based machine learning
2	Xavier Llorà, Rohith Reddy, Brian Matesic, Rohit Bhargava	Towards better than human capability in diagnosing prostate cancer using infrared spectroscopic imaging.	GECCO	2007	DBLP DOI BibTeX RDF	parallelization, learning classifier system, genetics-based machine learning, prostate cancer
2	Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima	An approach to fuzzy default reasoning for function approximation.	Soft Comput.	2006	DBLP DOI BibTeX RDF	Fuzzy number-valued function, Fuzzy modeling, Fuzzy reasoning, Genetics-based machine learning, Default reasoning
2	Alexander F. Tulai, Franz Oppacher	Multiple Species Weighted Voting - A Genetics-Based Machine Learning System.	GECCO	2004	DBLP DOI BibTeX RDF
2	Hisao Ishibuchi, Takashi Yamamoto	Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling.	Modelling with Words	2003	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima	Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning.	Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Jaume Bacardit, Xavier Llorà	Large scale data mining using genetics-based machine learning.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
1	Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera	Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.	IEEE Trans. Evolutionary Computation	2010	DBLP DOI BibTeX RDF
1		Genetics-Based Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi	Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design.	SEAL	2010	DBLP DOI BibTeX RDF
1	Mohammad Behdad, Luigi Barone, Tim French, Mohammed Bennamoun	An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	XCSR, netw ork intrusion detection, learning classifier systems, fraud detection, genetics-based machine learning
1	Mohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun	On the problems of using learning classifier systems for fraud detection.	GECCO	2010	DBLP DOI BibTeX RDF	xcsr, learning classifier systems, fraud detection, genetics-based machine learning
1	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
1	Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz	A comparative study: function approximation with LWPR and XCSF.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	lwpr, function approximation, xcsf
1	Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima	Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning.	FUZZ-IEEE	2009	DBLP DOI BibTeX RDF
1	Yusuke Nojima, Yusuke Nakashima, Hisao Ishibuchi	Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning.	SoCPaR	2009	DBLP DOI BibTeX RDF
1	Pier Luca Lanzi	Learning classifier systems.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	machine learning, reinforcement learning, rule-based systems, genetics-based machine learning
1	M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq	On the appropriateness of evolutionary rule learning algorithms for malware detection.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	learning classifier systems, malware detection, genetics based machine learning
1	M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq	Are evolutionary rule learning algorithms appropriate for malware detection?	GECCO	2009	DBLP DOI BibTeX RDF	malware detection, genetics based machine learning
1	Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa	Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System.	ISDA	2008	DBLP DOI BibTeX RDF
1	Luigi Malagò, Matteo Matteucci, Bernardo Dal Seno	An information geometry perspective on estimation of distribution algorithms: boundary analysis.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	boundary of a manifold, estimation of distribution algorithms, information geometry
1	Hai Huong Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan	Distributed Learning Classifier Systems.	Learning Classifier Systems in Data Mining	2008	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Yusuke Nojima	Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning.	Int. J. Approx. Reasoning	2007	DBLP DOI BibTeX RDF
1	Gregory Anthony Harrison, Eric W. Worden	Genetically programmed learning classifier system description and results.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	agent learning, bucket brigade, genetics-based machine learning (GBML), genetic programming, evolutionary computation, reinforcement learning, intelligent agent, learning classifier system, autonomous agent, complex adaptive system
1	H. Tamaki, Victor V. Kryssanov, S. Kitamura	A simulation engine to support production scheduling using genetics-based machine learning	CoRR	2006	DBLP BibTeX RDF
1	Ryohei Takasu, Nobutada Fujii, Kanji Ueda, Motohiro Kobayashi	Lot Release Control Using Genetics Based Machine Learning in a Semiconductor Manufacturing System.	IAS	2006	DBLP BibTeX RDF
1	William N. L. Browne, Dan Scott	An abstraction agorithm for genetics-based reinforcement learning.	GECCO	2005	DBLP DOI BibTeX RDF	abstraction, learning classifier systems, genetics-based machine learning
1	Alex McMahon, Dan Scott, William N. L. Browne	An autonomous explore/exploit strategy.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	explore/exploit strategy, learning classifier systems, genetics-based machine learning
1	Martin V. Butz, Kumara Sastry, David E. Goldberg	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.	Genetic Programming and Evolvable Machines	2005	DBLP DOI BibTeX RDF	learning classifier systems, XCS, genetics based machine learning, tournament selection
1	Anil Shankar, Sushil J. Louis	Learning classifier systems for user context learning.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima	Hybridization of fuzzy GBML approaches for pattern classification problems.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2005	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata	Three-objective genetics-based machine learning for linguistic rule extraction.	Inf. Sci.	2001	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata	Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data.	EMO	2001	DBLP DOI BibTeX RDF
1	Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra	Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers.	EvoWorkshops	2001	DBLP DOI BibTeX RDF
1	Hisao Ishibuchi, Tomoharu Nakashima	Linguistic Rule Extraction by Genetics-Based Machine Learning.	GECCO	2000	DBLP BibTeX RDF
1	Takao Terano, Eiji Murakami	Finding users' latent interests for recommendation by learning classifier systems.	KES	2000	DBLP DOI BibTeX RDF
1	H. Tamaki, Victor V. Kryssanov, S. Kitamura	A simulation engine to support production scheduling using genetics-based machine learning.	APMS	1999	DBLP BibTeX RDF
1	Tim Kovacs, Pier Luca Lanzi	A Learning Classifier Systems Bibliography.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF
1	Cathy Escazut, Philippe Collard	Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract).	ECML	1995	DBLP DOI BibTeX RDF
1	Adel M. Abunawass	Biologically based machine learning paradigms: an introductory course.	SIGCSE	1992	DBLP DOI BibTeX RDF