-
2
-
-
23044519454
-
An introduction to Learning Fuzzy Classifier Systems
-
P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Berlin: Springer
-
Bonarini, A. (2000). An introduction to Learning Fuzzy Classifier Systems. In P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Learning Classifier Systems. From Foundations to Applications, LNAI-1813, Berlin: Springer, pages 83-104.
-
(2000)
Learning Classifier Systems. From Foundations to Applications, LNAI-1813
, pp. 83-104
-
-
Bonarini, A.1
-
3
-
-
0003802343
-
-
New York, NY: Chapman & Hall
-
Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J. (1984). Classification and Regression Trees. New York, NY: Chapman & Hall.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
4
-
-
0041641437
-
Accuracy-based neuro and neuro-fuzzy classifier systems
-
W. B. Langdon et al. (eds.). San Francisco, CA: Morgan Kaufmann
-
Bull, L. & O'Hara, T. (2002). Accuracy-based neuro and neuro-fuzzy classifier systems. In W. B. Langdon et al. (eds.), GECCO-2002: Proceedings of the Genetic and Evolutionary Computation Conference. San Francisco, CA: Morgan Kaufmann, pages 905-911.
-
(2002)
GECCO-2002: Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 905-911
-
-
Bull, L.1
O'Hara, T.2
-
5
-
-
84944325190
-
Initial Modifications to XCS for use in Interactive Evolutionary Design
-
J. J. Merelo et al. (eds.), Berlin: Springer
-
Bull, L., Wyatt, D. & Parmee, I. (2002). Initial Modifications to XCS for use in Interactive Evolutionary Design. In J. J. Merelo et al. (eds.), Parallel Problem Solving from Nature - PPSN VII, Berlin: Springer, pages 568-577.
-
(2002)
Parallel Problem Solving from Nature - PPSN VII
, pp. 568-577
-
-
Bull, L.1
Wyatt, D.2
Parmee, I.3
-
6
-
-
84942854203
-
An algorithmic description of XCS
-
P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Berlin: Springer
-
Butz, M. V. & Wilson, S. W. (2001). An algorithmic description of XCS. In P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996, Berlin: Springer, pages 253-272.
-
(2001)
Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996
, pp. 253-272
-
-
Butz, M.V.1
Wilson, S.W.2
-
7
-
-
0042142405
-
Theory of Generalization and Learning in XCS
-
Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, May, 2002
-
Butz, M. V., Kovacs, T., Lanzi, P. L. & Wilson, S. W. (2002). Theory of Generalization and Learning in XCS. Technical Report No. 2002011, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, May, 2002.
-
(2002)
Technical Report No. 2002011
-
-
Butz, M.V.1
Kovacs, T.2
Lanzi, P.L.3
Wilson, S.W.4
-
8
-
-
0003463297
-
-
The University of Michigan Press, Ann Arbor, MI. Republished by MIT Press
-
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI. Republished by MIT Press, 1992.
-
(1975)
Adaptation in Natural and Artificial Systems
-
-
Holland, J.H.1
-
9
-
-
0000746883
-
Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems
-
R. S. Michalski, J. G. Carbonell & T. M. Mitchell (eds.), Los Altos, California: Morgan Kauffmann
-
Holland, J. H. (1986). Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems. In R. S. Michalski, J. G. Carbonell & T. M. Mitchell (eds.), Machine Learning, an Artificial Intelligence Approach. Volume II Los Altos, California: Morgan Kauffmann, pages 593-623.
-
(1986)
Machine Learning, an Artificial Intelligence Approach. Volume II
, vol.2
, pp. 593-623
-
-
Holland, J.H.1
-
10
-
-
0004199321
-
-
Master's thesis, School of Computer Science, University of Birmingham, U. K. Also Technical Report CSR-96-17 and CSRP-96-17, School of Computer Science, University of Birmingham, U. K.
-
Kovacs, T. (1996). Evolving optimal populations with XCS classifier systems. Master's thesis, School of Computer Science, University of Birmingham, U. K. Also Technical Report CSR-96-17 and CSRP-96-17, School of Computer Science, University of Birmingham, U. K.
-
(1996)
Evolving Optimal Populations with XCS Classifier Systems
-
-
Kovacs, T.1
-
11
-
-
84942881591
-
What makes a problem hard for XCS?
-
P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Berlin: Springer
-
Kovacs, T. & Kerber, M. (2001). What makes a problem hard for XCS? In P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996, Berlin: Springer, pages 80-99.
-
(2001)
Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996
, pp. 80-99
-
-
Kovacs, T.1
Kerber, M.2
-
12
-
-
0000732964
-
Extending the representation of classifier conditions, part II: From messy coding to s-expressions
-
W. Banzhaf et al. (eds.). San Francisco, CA: Morgan Kaufmann
-
Lanzi, P. L. (1999). Extending the representation of classifier conditions, part II: from messy coding to s-expressions. In W. Banzhaf et al. (eds.), GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference. San Francisco, CA: Morgan Kaufmann, pages 345-352.
-
(1999)
GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 345-352
-
-
Lanzi, P.L.1
-
13
-
-
0001387704
-
Classifier fitness based on accuracy
-
Wilson, S. W. (1995). Classifier fitness based on accuracy. Evolutionary Computation, 3(2):149-175.
-
(1995)
Evolutionary Computation
, vol.3
, Issue.2
, pp. 149-175
-
-
Wilson, S.W.1
-
14
-
-
0042643357
-
Get real! XCS with continuous-valued inputs
-
P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Berlin: Springer
-
Wilson, S. W. (2000). Get real! XCS with continuous-valued inputs. In P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Learning Classifier Systems. From Foundations to Applications, LNAI-1813, Berlin: Springer, pages 209-219.
-
(2000)
Learning Classifier Systems. From Foundations to Applications, LNAI-1813
, pp. 209-219
-
-
Wilson, S.W.1
-
15
-
-
84942897286
-
Mining oblique data with XCS
-
P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Berlin: Springer
-
Wilson, S. W. (2001 a). Mining oblique data with XCS. In P. L. Lanzi, W. Stolzmann and S. W. Wilson (eds.), Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996, Berlin: Springer, pages 158-174.
-
(2001)
Advances in Learning Classifier Systems. Proceedings of the Third International Workshop (IWLCS-2000), LNAI-1996
, pp. 158-174
-
-
Wilson, S.W.1
-
16
-
-
0042142404
-
Function approximation with a classifier system
-
L. E. Spector et al (eds.), San Francisco, CA: Morgan Kaufmann
-
Wilson, S. W. (2001b). Function approximation with a classifier system. In L. E. Spector et al (eds.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, San Francisco, CA: Morgan Kaufmann, pages 974-981.
-
(2001)
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001
, pp. 974-981
-
-
Wilson, S.W.1
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