-
4
-
-
27144439968
-
-
PhD thesis, University of Illinois at Urbana-Champaign, Urbana, IL
-
M. V. Butz. Rule-baaed evolutionary online learning systems: Learning bounds, classification, and prediction, PhD thesis, University of Illinois at Urbana-Champaign, Urbana, IL, 2004.
-
(2004)
Rule-baaed Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
-
-
Butz, M.V.1
-
6
-
-
0041780883
-
Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy
-
M. V. Butz, D. E. Goldberg, and K. Tharakunnel. Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy. Evolutionary Computation, 11:239-277, 2003.
-
(2003)
Evolutionary Computation
, vol.11
, pp. 239-277
-
-
Butz, M.V.1
Goldberg, D.E.2
Tharakunnel, K.3
-
7
-
-
1542376540
-
Toward a theory of generalization and learning in XCS
-
M. V. Butz, T. Kovacs, P. L. Lanzi, and S. W. Wilson. Toward a theory of generalization and learning in XCS. IEEE Transactions on Evolutionary Computation, 8:28-46, 2004.
-
(2004)
IEEE Transactions on Evolutionary Computation
, vol.8
, pp. 28-46
-
-
Butz, M.V.1
Kovacs, T.2
Lanzi, P.L.3
Wilson, S.W.4
-
9
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
G. F. Cooper and E. H. Herskovits. A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347, 1992.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.H.2
-
13
-
-
0003738581
-
Linkage learning via probabilistic modeling in the ECGA
-
Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign
-
G. Harik. Linkage learning via probabilistic modeling in the ECGA. IlliGAL report 99010, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, 1999.
-
(1999)
IlliGAL Report 99010
-
-
Harik, G.1
-
14
-
-
0003846045
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
Microsoft Research, Redmond, WA
-
D. Heckerman, D. Geiger, and D. M. Chlckering. Learning Bayesian networks: The combination of knowledge and statistical data. Technical Report MSR-TR-94-09, Microsoft Research, Redmond, WA, 1994.
-
(1994)
Technical Report
, vol.MSR-TR-94-09
-
-
Heckerman, D.1
Geiger, D.2
Chlckering, D.M.3
-
15
-
-
85012775611
-
Propagating uncertainty in Bayesian networks by probabilistic logic sampling
-
J. F. Lemmer and L. N. Kanal, editors. Elsevier, Amsterdam, London, New York
-
M. Henrion. Propagating uncertainty in Bayesian networks by probabilistic logic sampling. In J. F. Lemmer and L. N. Kanal, editors, Uncertainty in Artificial Intelligence, pages 149-163. Elsevier, Amsterdam, London, New York, 1988.
-
(1988)
Uncertainty in Artificial Intelligence
, pp. 149-163
-
-
Henrion, M.1
-
17
-
-
0001666176
-
Cognitive systems based on adaptive algorithms
-
D. A. Waterman and F. Hayes-Roth, editors. Academic Press, New York
-
J. H. Holland and J. S. Reitman. Cognitive systems based on adaptive algorithms. In D. A. Waterman and F. Hayes-Roth, editors, Pattern directed inference systems, pages 313-329. Academic Press, New York, 1978.
-
(1978)
Pattern Directed Inference Systems
, pp. 313-329
-
-
Holland, J.H.1
Reitman, J.S.2
-
19
-
-
4344693783
-
A review on estimation of distribution algorithms
-
P. Larrañaga and J. A. Lozano, editors, chapter 3. Kluwer Academic Publishers, Boston, MA
-
P. Larrañaga. A review on estimation of distribution algorithms. In P. Larrañaga and J. A. Lozano, editors, Estimation of Distribution Algorithms, chapter 3, pages 57-100. Kluwer Academic Publishers, Boston, MA, 2002.
-
(2002)
Estimation of Distribution Algorithms
, pp. 57-100
-
-
Larrañaga, P.1
-
20
-
-
0000331692
-
Optimization in continuous domains by learning and simulation of Gaussian networks
-
A. Wu, editor, San Fransisco, CA. Morgan Kaufmann
-
P. Larrañaga, R. Etxeberria, J. A. Lozano, and J. M. Pena. Optimization in continuous domains by learning and simulation of Gaussian networks. In A. Wu, editor, Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 201-204, San Fransisco, CA, 2000. Morgan Kaufmann.
-
(2000)
Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)
, pp. 201-204
-
-
Larrañaga, P.1
Etxeberria, R.2
Lozano, J.A.3
Pena, J.M.4
-
22
-
-
32444445337
-
Extended compact genetic algorithm in C++
-
Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign
-
F. Lobo and G. Harik. Extended compact genetic algorithm in C++. IlliGAL report 99016, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, 1999.
-
(1999)
IlliGAL Report 99016
-
-
Lobo, F.1
Harik, G.2
-
24
-
-
84958959530
-
From recombination of genes to the estimation of distributions I. Binary parameters
-
H. Mühlenbein and G. Paaß. From recombination of genes to the estimation of distributions I. Binary parameters. Parallel Problem Solving from Nature, pages 178-187, 1996.
-
(1996)
Parallel Problem Solving from Nature
, pp. 178-187
-
-
Mühlenbein, H.1
Paaß, G.2
-
25
-
-
0004087397
-
Probabilistic inference using Markov chain Monte Carlo methods
-
Dept. of Computer Science, University of Toronto
-
R. M. Neal. Probabilistic inference using Markov chain Monte Carlo methods. Technical Report CRG-TR-93-1, Dept. of Computer Science, University of Toronto, 1993.
-
(1993)
Technical Report
, vol.CRG-TR-93-1
-
-
Neal, R.M.1
-
30
-
-
0036180213
-
A survey of optimization by building and using probabilistic models
-
M. Pelikan, D. E. Goldberg, and F. Lobo. A survey of optimization by building and using probabilistic models, Computational Optimization and Applications, 21(1):5-20, 2002.
-
(2002)
Computational Optimization and Applications
, vol.21
, Issue.1
, pp. 5-20
-
-
Pelikan, M.1
Goldberg, D.E.2
Lobo, F.3
-
31
-
-
0141844529
-
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert
-
M. Pelikan, D. E. Goldberg, and S. Tsutsui. Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Information Sciences, 156(3-4):36-45, 2003.
-
(2003)
Information Sciences
, vol.156
, Issue.3-4
, pp. 36-45
-
-
Pelikan, M.1
Goldberg, D.E.2
Tsutsui, S.3
-
32
-
-
32444437611
-
Improving the discovery component of classifier systems by the application of estimation of distribution algorithms
-
Chania, Greece
-
J. P. Rivera and R. Santana. Improving the discovery component of classifier systems by the application of estimation of distribution algorithms. In Proceedings of the students sessions, ACAI'99, pages 43-44, Chania, Greece, 1999.
-
(1999)
Proceedings of the Students Sessions, ACAI'99
, pp. 43-44
-
-
Rivera, J.P.1
Santana, R.2
-
33
-
-
32444437721
-
On extended compact genetic algorithm
-
Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign
-
K. Sastry and D. E. Goldberg. On extended compact genetic algorithm. IlliGAL report 2000026, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, 2000.
-
(2000)
IlliGAL Report 2000026
-
-
Sastry, K.1
Goldberg, D.E.2
-
34
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz. Estimating the dimension of a model. The Annals of Statistics, 6:461-464, 1978.
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
37
-
-
0001387704
-
Classifier fitness based on accuracy
-
S. W. Wilson. Classifier fitness based on accuracy. Evolutionary Computation, 3(2):149-175, 1995.
-
(1995)
Evolutionary Computation
, vol.3
, Issue.2
, pp. 149-175
-
-
Wilson, S.W.1
-
39
-
-
0042643357
-
Get real! XCS with continuous-valued inputs
-
P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors. Springer-Verlag, Berlin Heidelberg
-
S. W. Wilson. Get real! XCS with continuous-valued inputs. In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Learning classifier systems: From foundations to applications (LNAI1813), pages 209-219. Springer-Verlag, Berlin Heidelberg, 2000.
-
(2000)
Learning Classifier Systems: From Foundations to Applications (LNAI1813)
, pp. 209-219
-
-
Wilson, S.W.1
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