-
1
-
-
0000459241
-
C-Net: A method for generating non-deterministic and dynamic multivariate decision trees
-
H. A. Abbass, M. Towsey, and G. D. Finn. C-Net: A method for generating non-deterministic and dynamic multivariate decision trees. Knowledge and Information Systems, 3(2): 184-197, 2001.
-
(2001)
Knowledge and Information Systems
, vol.3
, Issue.2
, pp. 184-197
-
-
Abbass, H.A.1
Towsey, M.2
Finn, G.D.3
-
2
-
-
0043284115
-
Accuracy-based learning classifier systems: Models, analysis and applications to classification tasks
-
E. Bernadó-Mansilla and J. M. Garrell-Guiu. Accuracy-based learning classifier systems: models, analysis and applications to classification tasks. Evolutionary Computation, 11(3):209-238, 2003.
-
(2003)
Evolutionary Computation
, vol.11
, Issue.3
, pp. 209-238
-
-
Bernadó-Mansilla, E.1
Garrell-Guiu, J.M.2
-
3
-
-
36649025195
-
-
E. Bernado-Mansilla, X. Llorà, and J. M. Garrell-Guiu. XCS and GALE: a comparative study of two learning classifier systems with six other learning algorithms on classification tasks. In Proceedings of the 4th International Workshop on Learning Classifier Systems (IWLCS2001), pages 337-341, 200.1. Short version published in Genetic and Evolutionary Compution Conference (GECCO2001).
-
E. Bernado-Mansilla, X. Llorà, and J. M. Garrell-Guiu. XCS and GALE: a comparative study of two learning classifier systems with six other learning algorithms on classification tasks. In Proceedings of the 4th International Workshop on Learning Classifier Systems (IWLCS2001), pages 337-341, 200.1. Short version published in Genetic and Evolutionary Compution Conference (GECCO2001).
-
-
-
-
4
-
-
10444241776
-
-
PhD thesis, School of Computer Science, The University of Birmingham
-
G. Brown. Diversity in Neural Network Ensembles. PhD thesis, School of Computer Science, The University of Birmingham, 2004.
-
(2004)
Diversity in Neural Network Ensembles
-
-
Brown, G.1
-
5
-
-
10444221886
-
Diversity creation methods: A survey and categorisation
-
G. Brown, J. Wyatt, R. Harris, and X. Yao. Diversity creation methods: a survey and categorisation. Information Fusion, 6(1):5-20, 2005.
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
7
-
-
0041641437
-
Accuracy-based neuro and neuro-fuzzy classifier systems
-
San Francisco, CA, USA, Morgan Kaufmann Publishers Inc
-
L. Bull and T. O'Hara. Accuracy-based neuro and neuro-fuzzy classifier systems. In GECCO '02: Proceedings of the Genetic and Evolutionary Computation Conference, pages 905-911, San Francisco, CA, USA, 2002. Morgan Kaufmann Publishers Inc.
-
(2002)
GECCO '02: Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 905-911
-
-
Bull, L.1
O'Hara, T.2
-
9
-
-
32444433740
-
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system
-
New York, NY, USA, ACM Press
-
M. V. Butz. Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. In GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation, pages 1835-1842, New York, NY, USA, 2005. ACM Press.
-
(2005)
GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation
, pp. 1835-1842
-
-
Butz, M.V.1
-
10
-
-
36649012741
-
-
H. H. Dam, H. A. Abbass, and C. Lokan. Be real! XCS with continuous valued inputs. In Proceedings of the Eighth International Workshop on Learning Classifier Systems (IWLCS-2005), Washington D.C., USA, 2005.
-
H. H. Dam, H. A. Abbass, and C. Lokan. Be real! XCS with continuous valued inputs. In Proceedings of the Eighth International Workshop on Learning Classifier Systems (IWLCS-2005), Washington D.C., USA, 2005.
-
-
-
-
11
-
-
36649034201
-
Speciation techniques in evolved ensembles with negative correlation learning
-
Vancouver, Canada
-
P. Duell, I. Fermin, and X. Yao. Speciation techniques in evolved ensembles with negative correlation learning. In IEEE Congress on Evolutionary Computation, pages 16-21, Vancouver, Canada, 2006.
-
(2006)
IEEE Congress on Evolutionary Computation
, pp. 16-21
-
-
Duell, P.1
Fermin, I.2
Yao, X.3
-
14
-
-
0003463297
-
-
University of Michigan Press, Ann Arbor, Republished by the MIT press, 1992
-
J. H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975. Republished by the MIT press, 1992.
-
(1975)
Adaptation in Natural and Artificial Systems
-
-
Holland, J.H.1
-
15
-
-
0002878183
-
Properties of the bucket brigade
-
Mahwah, NJ, USA, Lawrence Erlbaum Associates, Inc
-
J. H. Holland. Properties of the bucket brigade. In Proceedings of the 1st International Conference on Genetic Algorithms, pages 1-7, Mahwah, NJ, USA, 1985. Lawrence Erlbaum Associates, Inc.
-
(1985)
Proceedings of the 1st International Conference on Genetic Algorithms
, pp. 1-7
-
-
Holland, J.H.1
-
16
-
-
0000746883
-
Escaping Brittleness: The Possibilities of GeneralPurpose Learning Algorithms Applied to Parallel Rule-Based Systems
-
Mitchell, Michalski, and Carbonell, editors, chapter 20, Morgan Kaufmann
-
J. H. Holland. Escaping Brittleness: The Possibilities of GeneralPurpose Learning Algorithms Applied to Parallel Rule-Based Systems. In Mitchell, Michalski, and Carbonell, editors, Machine Learning, an Artificial Intelligence Approach. Volume II, chapter 20, pages 593-623. Morgan Kaufmann, 1986.
-
(1986)
Machine Learning, an Artificial Intelligence Approach
, vol.2
, pp. 593-623
-
-
Holland, J.H.1
-
17
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward networks are universal approximators. Neural Network, 2(5):359-366, 1989.
-
(1989)
Neural Network
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
18
-
-
35048891595
-
-
J. Hurst and L. Bull. A self-adaptive neural learning classifier system, with constructivism for mobile robot control. In Parallel Problem Solving from Nature - PPSN VIII, pages 942-951. Springer, 2004.
-
J. Hurst and L. Bull. A self-adaptive neural learning classifier system, with constructivism for mobile robot control. In Parallel Problem Solving from Nature - PPSN VIII, pages 942-951. Springer, 2004.
-
-
-
-
19
-
-
0042525838
-
-
M. M. Islam, X. Yao, and K. Murase. A. constructive algorithm, for training cooperative neural network ensembles. IEEE Transactions on Neural Networks, 14(4):820-834, 2003.
-
M. M. Islam, X. Yao, and K. Murase. A. constructive algorithm, for training cooperative neural network ensembles. IEEE Transactions on Neural Networks, 14(4):820-834, 2003.
-
-
-
-
20
-
-
0347779886
-
What should a classifier system learn and how should we measure it?
-
June
-
T. Kovacs. What should a classifier system learn and how should we measure it? Journal of Soft Computing, 6(3-4):171-182, June 2002.
-
(2002)
Journal of Soft Computing
, vol.6
, Issue.3-4
, pp. 171-182
-
-
Kovacs, T.1
-
21
-
-
1542293638
-
Extending the representation of classifier conditions part I: From, messy coding to S-expressions
-
W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Morgan Kaufmann
-
P. L. Lanzi and A. Perrucci. Extending the representation of classifier conditions part I: From, messy coding to S-expressions. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 337-344. Morgan Kaufmann, 1999.
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference
, vol.1
, pp. 337-344
-
-
Lanzi, P.L.1
Perrucci, A.2
-
22
-
-
36649013604
-
-
P. L. Lanzi and A. Perrucci. Extending the representation of classifier conditions part II: From messy coding to S-expressions. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, andR. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, 1, pages 345-352. Morgan Kaufmann, 1999.
-
P. L. Lanzi and A. Perrucci. Extending the representation of classifier conditions part II: From messy coding to S-expressions. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, andR. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 345-352. Morgan Kaufmann, 1999.
-
-
-
-
24
-
-
1942483371
-
-
PhD thesis, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, Australia
-
Y. Liu. Negative Correlation Learning and Evolutionary Design of Neural Network Ensembles. PhD thesis, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, Australia, 1999.
-
(1999)
Negative Correlation Learning and Evolutionary Design of Neural Network Ensembles
-
-
Liu, Y.1
-
26
-
-
0034315099
-
Evolutionary ensembles with negative con-elation learning
-
Y. Liu, X. Yao, and T. Higuchi. Evolutionary ensembles with negative con-elation learning. IEEE Transactions on Evolutionary Computation, 4(4):380-387, 2000.
-
(2000)
IEEE Transactions on Evolutionary Computation
, vol.4
, Issue.4
, pp. 380-387
-
-
Liu, Y.1
Yao, X.2
Higuchi, T.3
-
30
-
-
0031420798
-
The neural basis of cognitive development: A. constructivist manifesto
-
S. Quartz and T. Sejnowski. The neural basis of cognitive development: A. constructivist manifesto. Brain and Behavioral Sciences, 20(4):537-596, 1997.
-
(1997)
Brain and Behavioral Sciences
, vol.20
, Issue.4
, pp. 537-596
-
-
Quartz, S.1
Sejnowski, T.2
-
31
-
-
33751353738
-
The role of early stopping and population size in xcs for intrusion detection
-
Hefei, China
-
K. Shafi, H. Abbass, and W. Zhu. The role of early stopping and population size in xcs for intrusion detection. In 6th International Conference on Simulated Evolution and Learning (SEAL'06), pages 50-57, Hefei, China, 2006.
-
(2006)
6th International Conference on Simulated Evolution and Learning (SEAL'06)
, pp. 50-57
-
-
Shafi, K.1
Abbass, H.2
Zhu, W.3
-
32
-
-
0030372023
-
On combining artificial neural nets
-
A. Sharkey. On combining artificial neural nets. Connection Science, 8:299-313, 1996.
-
(1996)
Connection Science
, vol.8
, pp. 299-313
-
-
Sharkey, A.1
-
33
-
-
84947604413
-
-
M. Skurichina, L. Kuncheva, and R. Duin. Bagging and boosting for the nearest mean classifier: Effects of sample size on diversity and accuracy. In International Workshop on Multiple Classifier Systems, pages 62-7.1. Springer, 2002.
-
M. Skurichina, L. Kuncheva, and R. Duin. Bagging and boosting for the nearest mean classifier: Effects of sample size on diversity and accuracy. In International Workshop on Multiple Classifier Systems, pages 62-7.1. Springer, 2002.
-
-
-
-
35
-
-
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
-
36
-
-
0000648788
-
Generalization in the XCS classifier system
-
J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors, University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann
-
S. W. Wilson. Generalization in the XCS classifier system. In J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 665-674, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann.
-
(1998)
Genetic Programming 1998: Proceedings of the Third Annual Conference
, pp. 665-674
-
-
Wilson, S.W.1
-
37
-
-
0042643357
-
Get real! XCS with continuous-valued inputs
-
P. Lanzi, W. Stolzmann, and S. Wilson, editors, Learning Classifier Systems, From Foundations to Applications, Berlin, Springer-Verlag
-
S. W. Wilson. Get real! XCS with continuous-valued inputs. In P. Lanzi, W. Stolzmann, and S. Wilson, editors, Learning Classifier Systems, From Foundations to Applications, LNAI-1813, pages 209-219, Berlin, 2000. Springer-Verlag.
-
(1813)
LNAI
, pp. 209-219
-
-
Wilson, S.W.1
-
38
-
-
84942897286
-
Mining oblique data with. XCS
-
P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Proceedings of the Third International Workshop IWLCS-2000
-
S. W. Wilson. Mining oblique data with. XCS. In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Proceedings of the Third International Workshop (IWLCS-2000), Lecture Notes in Artificial Intelligence, pages 158-174, 2001.
-
(2001)
Lecture Notes in Artificial Intelligence
, pp. 158-174
-
-
Wilson, S.W.1
|