| 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 | 252 | 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 | 199 | 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 | 171 | 1998 |
| Evolving optimal populations with xcs classifier systems T Kovacs Master's thesis, School of Computer Science, University of Birmingham …, 1996 | 132 | 1996 |
| Foundations of learning classifier systems: An introduction L Bull, T Kovacs Foundations of Learning Classifier Systems, 1-17, 2005 | 131 | 2005 |
| Strength or accuracy? Fitness calculation in learning classifier systems T Kovacs International Workshop on Learning Classifier Systems, 143-160, 1999 | 113 | 1999 |
| Strength or accuracy: credit assignment in learning classifier systems T Kovacs Springer Science & Business Media, 2012 | 109 | 2012 |
| Deletion schemes for classifier systems T Kovacs Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999 | 96 | 1999 |
| How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001 | 84 | 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 | 80 | 2006 |
| What makes a problem hard for XCS? T Kovacs, M Kerber International Workshop on Learning Classifier Systems, 80-99, 2000 | 73 | 2000 |
| Intrusion detection with evolutionary learning classifier systems K Shafi, T Kovacs, HA Abbass, W Zhu Natural Computing 8 (1), 3-27, 2009 | 47 | 2009 |
| Towards a theory of strong overgeneral classifiers T Kovacs Foundations of Genetic Algorithms 6, 165-184, 2001 | 45 | 2001 |
| What should a classifier system learn? T Kovacs Strength or Accuracy: Credit Assignment in Learning Classifier Systems, 97-123, 2004 | 40* | 2004 |
| Genetics-Based Machine Learning. T Kovacs Handbook of natural computing, 937-986, 2012 | 37 | 2012 |
| A Comparison of Strength and Accuracy-based Fitness in Learning and Classifier Systems TMD Kovacs University of Birmingham, 2002 | 37 | 2002 |
| TreeVector: scalable, interactive, phylogenetic trees for the web R Pethica, G Barker, T Kovacs, J Gough PLoS One 5 (1), e8934, 2010 | 35 | 2010 |
| Two views of classifier systems T Kovacs International Workshop on Learning Classifier Systems, 74-87, 2001 | 31 | 2001 |
| A learning classifier systems bibliography T Kovacs, PL Lanzi International Workshop on Learning Classifier Systems, 321-347, 1999 | 30 | 1999 |
| What should a classifier system learn and how should we measure it? T Kovacs Soft Computing 6 (3), 171-182, 2002 | 29 | 2002 |
Pier Luca LanziPolitecnico di MilanoVerified email at polimi.it
