Tim Kovacs

	2012
32		Narayanan Unny Edakunni, Gary Brown, Tim Kovacs: Boosting as a Product of Experts CoRR abs/1202.3716: (2012)
	2011
31		Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown: Accuracy exponentiation in UCS and its effect on voting margins. GECCO 2011: 1251-1258
30		Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs: Online, GA based mixture of experts: a probabilistic model of ucs. GECCO 2011: 1267-1274
29		Narayanan Unny Edakunni, Gary Brown, Tim Kovacs: Boosting as a Product of Experts. UAI 2011: 187-194
28		Tim Kovacs, Robert Egginton: On the analysis and design of software for reinforcement learning, with a survey of existing systems. Machine Learning 84(1-2): 7-49 (2011)
	2009
27		Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall: Modeling UCS as a mixture of experts. GECCO 2009: 1187-1194
26		Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu: Intrusion detection with evolutionary learning classifier systems. Natural Computing 8(1): 3-27 (2009)
	2008
25		Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama: Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers Springer 2008
	2007
24		Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers Springer 2007
23		Gavin Brown, Tim Kovacs, James A. R. Marshall: UCSpv: principled voting in UCS rule populations. GECCO 2007: 1774-1781
22		Tim Kovacs, Larry Bull: Toward a better understanding of rule initialisation and deletion. GECCO (Companion) 2007: 2777-2780
21		James A. R. Marshall, Gavin Brown, Tim Kovacs: Bayesian estimation of rule accuracy in UCS. GECCO (Companion) 2007: 2831-2834
	2006
20		James A. R. Marshall, Tim Kovacs: A representational ecology for learning classifier systems. GECCO 2006: 1529-1536
19		Tim Kovacs, Manfred Kerber: A Study of Structural and Parametric Learning in XCS. Evolutionary Computation 14(1): 1-19 (2006)
	2005
18		Peter Spellward, Tim Kovacs: On the contribution of gene libraries to artificial immune systems. GECCO 2005: 313-319
17		Steve Cayzer, Jim Smith, James A. R. Marshall, Tim Kovacs: What Have Gene Libraries Done for AIS? ICARIS 2005: 86-99
	2004
16		Tim Kovacs, Manfred Kerber: High Classification Accuracy Does Not Imply Effective Genetic Search. GECCO (2) 2004: 785-796
15		Tim Kovacs: Rule Fitness and Pathology in Learning Classifier Systems. Evolutionary Computation 12(1): 99-135 (2004)
14		Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)
13		Tim Kovacs: Strength or accuracy: credit assignment in learning classifier systems. Bristol, Univ. 2004: 1-307
	2003
12		James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus, Nigel R. Franks: Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. ECAL 2003: 643-650
	2002
11		Tim Kovacs: The 2003 Learning Classifier Systems Bibliography. IWLCS 2002: 187-230
10		Tim Kovacs: XCS's Strength-Based Twin: Part I. IWLCS 2002: 61-80
9		Tim Kovacs: XCS's Strength-Based Twin: Part II. IWLCS 2002: 81-98
8		Tim Kovacs: What should a classifier system learn and how should we measure it? Soft Comput. 6(3-4): 171-182 (2002)
7		Tim Kovacs: Learning classifier systems resources. Soft Comput. 6(3-4): 240-243 (2002)
	2001
6		Tim Kovacs: Two Views of Classifier Systems. IWLCS 2001: 74-87
	2000
5		Tim Kovacs: Towards a Theory of Strong Overgeneral Classifiers. FOGA 2000: 165-184
4		Tim Kovacs, Pier Luca Lanzi: A Bigger Learning Classifier Systems Bibliography. IWLCS 2000: 213-252
3		Tim Kovacs, Manfred Kerber: What Makes a Problem Hard for XCS? IWLCS 2000: 80-102
	1999
2		Tim Kovacs: Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. Learning Classifier Systems 1999: 143-160
1		Tim Kovacs, Pier Luca Lanzi: A Learning Classifier Systems Bibliography. Learning Classifier Systems 1999: 321-348

Coauthor Index

1	Hussein A. Abbass	[26]
2	Jaume Bacardit	[25]
3	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[25]
4	Gary Brown	[29] [32]
5	Gavin Brown	[21] [23] [27] [30] [31]
6	Larry Bull	[22]
7	Martin V. Butz (Martin Butz)	[14] [25]
8	Steve Cayzer	[17]
9	Anna R. Dornhaus	[12]
10	Narayanan Unny Edakunni	[27] [29] [30] [31] [32]
11	Robert Egginton	[28]
12	Nigel R. Franks	[12]
13	Manfred Kerber	[3] [16] [19]
14	Pier Luca Lanzi	[1] [4] [14] [24]
15	Xavier Llorà	[24] [25]
16	James A. R. Marshall	[12] [17] [20] [21] [23] [27]
17	Kamran Shafi	[26]
18	Jim Smith	[17]
19	Peter Spellward	[18]
20	Wolfgang Stolzmann	[24]
21	Keiki Takadama	[24] [25]
22	Stewart W. Wilson	[14] [24]
23	Weiping Zhu	[26]

Colors in the list of coauthors

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