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 | 280 | 2004 |
On optimal decision-making in brains and social insect colonies JAR Marshall, R Bogacz, A Dornhaus, R Planqué, T Kovacs, NR Franks Journal of the Royal Society Interface 6, 1065-1074, 2009 | 261 | 2009 |
XCS classifier system reliably evolves accurate, complete, and minimal representations for Boolean functions T Kovacs Soft computing in engineering design and manufacturing, 59-68, 1998 | 182 | 1998 |
Evolving optimal populations with xcs classifier systems T Kovacs Master's thesis, School of Computer Science, University of Birmingham …, 1996 | 143 | 1996 |
Foundations of learning classifier systems: An introduction L Bull, T Kovacs Foundations of Learning Classifier Systems, 1-17, 2005 | 137 | 2005 |
Strength or accuracy? Fitness calculation in learning classifier systems T Kovacs Learning Classifier Systems: From Foundations to Applications, 143-160, 2000 | 119 | 2000 |
Strength or accuracy: credit assignment in learning classifier systems T Kovacs Springer Science & Business Media, 2012 | 118 | 2012 |
Deletion schemes for classifier systems T Kovacs Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999 | 106 | 1999 |
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001 | 105 | 2001 |
Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system JAR Marshall, A Dornhaus, NR Franks, T Kovacs Journal of the Royal Society Interface 3 (7), 243-254, 2006 | 91 | 2006 |
What makes a problem hard for XCS? T Kovacs, M Kerber International Workshop on Learning Classifier Systems, 80-99, 2000 | 77 | 2000 |
Distribution of calcitonin gene-related peptide in vertebrate neuromuscular junctions: relationship to the acetylcholine receptor. B Csillik, L Tajti, T Kovacs, E Kukla, P Rakic, E Knyihár-Csillik Journal of Histochemistry & Cytochemistry 41 (10), 1547-1555, 1993 | 54 | 1993 |
Intrusion detection with evolutionary learning classifier systems K Shafi, T Kovacs, HA Abbass, W Zhu Natural Computing 8, 3-27, 2009 | 52 | 2009 |
Towards a theory of strong overgeneral classifiers T Kovacs Foundations of Genetic Algorithms 6, 165-184, 2001 | 50 | 2001 |
Genetics-Based Machine Learning. T Kovacs Handbook of natural computing, 937-986, 2012 | 43 | 2012 |
A Comparison of Strength and Accuracy-based Fitness in Learning and Classifier Systems TMD Kovacs University of Birmingham, 2002 | 39 | 2002 |
Cognitive behavior therapy for anxious and depressed youth: improving homework adherence through mobile technology P Wilansky, JM Eklund, T Milner, D Kreindler, A Cheung, T Kovacs, ... JMIR research protocols 5 (4), e5841, 2016 | 38 | 2016 |
TreeVector: scalable, interactive, phylogenetic trees for the web R Pethica, G Barker, T Kovacs, J Gough PLoS One 5 (1), e8934, 2010 | 38 | 2010 |
Determination of minimum sample size to estimate diet diversity in anuran species T Kovács, J Török Herpetological Journal 7, 43-48, 1997 | 35 | 1997 |
Two views of classifier systems T Kovacs International Workshop on Learning Classifier Systems, 74-87, 2001 | 32 | 2001 |