-
1
-
-
0002880429
-
A discussion on generality and robustness and a framework for fitness set construction in genetic programming to promote robustness
-
John R. Koza. editor, Stanford University. CA, USA, 13-16 July, Stanford Bookstore
-
Tommaso F. Bersano-Begey and Jason M. Daida. A discussion on generality and robustness and a framework for fitness set construction in genetic programming to promote robustness. In John R. Koza. editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 11-18, Stanford University. CA, USA, 13-16 July 1997. Stanford Bookstore.
-
(1997)
Late Breaking Papers at the 1997 Genetic Programming Conference
, pp. 11-18
-
-
Bersano-Begey, T.F.1
Daida, J.M.2
-
2
-
-
0001570452
-
Classifier systems that learn internal world models
-
October
-
Lashon B. Booker. Classifier systems that learn internal world models. Machine Learning. 3 (2/3):161-192. October 1988.
-
(1988)
Machine Learning
, vol.3
, Issue.2-3
, pp. 161-192
-
-
Booker, L.B.1
-
4
-
-
34250090619
-
Learning with genetic algorithms: An overview
-
A. De Jong, Kenneth. Learning with genetic algorithms: an overview. Machine Learning, 3(2):121-138, 1988
-
(1988)
Machine Learning
, vol.3
, Issue.2
, pp. 121-138
-
-
De Jong, A.K.1
-
5
-
-
34250090619
-
Learning with genetic algorithms: An overview
-
October
-
Kenneth De Jong. Learning with genetic algorithms: An overview. Machine Learning. 3 (2/3):121-138. October 1988.
-
(1988)
Machine Learning
, vol.3
, Issue.2-3
, pp. 121-138
-
-
De Jong, K.1
-
6
-
-
12444258560
-
Evaluation and selection of biases for machine learning
-
July/August
-
Marie Des Jardins and Diana Gordon. Evaluation and selection of biases for machine learning. Machine Learning, 20(1-2), July/August 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.1-2
-
-
Des Jardins, M.1
Gordon, D.2
-
7
-
-
0004053609
-
-
Corvallis, OR
-
T. G. Dietterich and E. B. Kong, Machine learning biasi statistical bias, and statistical variance of decision tree algorithms. Technical report, Department of Computer Science, Oregon Slate University. Corvallis, OR, 1995.
-
(1995)
Machine Learning Biasi Statistical Bias, and Statistical Variance of Decision Tree Algorithms. Technical Report, Department of Computer Science, Oregon Slate University
-
-
Dietterich, T.G.1
Kong, E.B.2
-
8
-
-
0001907843
-
Benchmarking the generalization capabilities of a compiling genetic programming system using sparse data sets
-
John R. Koza, David E. Goldberg, David B. Fogel. and Rick L. Riolo. editors, Stanford University, CA, USA, July, MIT Press
-
Frank D. Francone. Peter Nordin, and Wolfgang Banzhaf. Benchmarking the generalization capabilities of a compiling genetic programming system using sparse data sets. In John R. Koza, David E. Goldberg, David B. Fogel. and Rick L. Riolo. editors. Genetic Programming 1996: Proceedings of the First Annual Conference, pages 72-80, Stanford University, CA, USA, July 1996. MIT Press.
-
(1996)
Genetic Programming 1996: Proceedings of the First Annual Conference
, pp. 72-80
-
-
Francone, F.D.1
Nordin, P.2
Banzhaf, W.3
-
11
-
-
0001501920
-
Bagging, boosting, and bloating in genetic programming
-
Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Orlando, Florida, USA, 13-17 July, Morgan Kaufmann
-
Hitoshi Iba. Bagging, boosting, and bloating in genetic programming. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1053-1060, Orlando, Florida, USA, 13-17 July 1999. Morgan Kaufmann.
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference
, vol.2
, pp. 1053-1060
-
-
Iba, H.1
-
12
-
-
0003162203
-
Robustness of robot programs generated by genetic programming
-
John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Stanford University, CA. USA, 28-31 July, MIT Press. 321-326
-
Takuya Ito, Hitoshi Iba. and Masayuki Kimura. Robustness of robot programs generated by genetic programming. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, Stanford University, CA. USA, 28-31 July 1996. MIT Press. 321-326.
-
(1996)
Genetic Programming 1996: Proceedings of the First Annual Conference
-
-
Ito, T.1
Iba, H.2
Kimura, M.3
-
16
-
-
0004199321
-
Evolving optima! populations with XCS classifier systems
-
Tim Kovacs. Evolving optima! populations with XCS classifier systems. Technical Report CSRP-96-I7, 1996.
-
(1996)
Technical Report CSRP-96-I7
-
-
Kovacs, T.1
-
17
-
-
0042142968
-
XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions
-
Roy, Chawdhry, and Pant, editors, Springer-Verlag, London
-
Tim Kovacs. XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions. In Roy, Chawdhry, and Pant, editors, Soft Computing in Engineering Design and Manufacturing, pages 59-68. Springer-Verlag, London, 1997.
-
(1997)
Soft Computing in Engineering Design and Manufacturing
, pp. 59-68
-
-
Kovacs, T.1
-
18
-
-
0001167553
-
Strength or accuracy? Fitness calculation in learning classifier systems
-
Tim Kovacs. Strength or accuracy? fitness calculation in learning classifier systems. In Learning Classifier Systems, pages 143-160, 1999.
-
(1999)
Learning Classifier Systems
, pp. 143-160
-
-
Kovacs, T.1
-
21
-
-
84901420315
-
A genetic constructive induction model
-
Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, and Ali Zalzala, editors, IEEE press
-
Ibrahim Kuscu. A genetic constructive induction model. In Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, and Ali Zalzala, editors, International Congress on Evolutionary Computation, pages 212-217. IEEE press. 1999.
-
(1999)
International Congress on Evolutionary Computation
, pp. 212-217
-
-
Kuscu, I.1
-
22
-
-
0036808510
-
Genetic programming and evolutionary generalisation
-
October
-
Ibrahim Kushchu. Genetic programming and evolutionary generalisation. IEEE Transactions on Evolutionary Computation, 6(5):431-442, October 2002.
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.5
, pp. 431-442
-
-
Kushchu, I.1
-
26
-
-
0034315099
-
Evolutionary ensembles with negative correlation learning
-
November
-
Y. Liu, X. Yao, and T. Higuchi. Evolutionary ensembles with negative correlation learning. IEEE Transactions on Evolutionary Computation, 4(4):380-387, November 2000.
-
(2000)
IEEE Transactions on Evolutionary Computation
, vol.4
, Issue.4
, pp. 380-387
-
-
Liu, Y.1
Yao, X.2
Higuchi, T.3
-
30
-
-
0003682772
-
The need for biases in learning generalisations
-
Rutgers University
-
T. Mitchell. The need for biases in learning generalisations. Technical Report CBM-TR-117, Rutgers University, 1980.
-
(1980)
Technical Report CBM-TR-117
-
-
Mitchell, T.1
-
32
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
33
-
-
0038651397
-
An evolved, vision-based behavioral model of obstacle avoidance behaviour
-
Christopher G. Langton, editor, Addison-Wesley, Santa Fe Institute, New Mexico, USA, 15-19 June
-
Craig W. Reynolds. An evolved, vision-based behavioral model of obstacle avoidance behaviour. In Christopher G. Langton, editor, Artificial Life HI, volume XVII of SFI Studies in the Sciences of Complexity, pages 327-346. Addison-Wesley, Santa Fe Institute, New Mexico, USA, 15-19 June 1992 1994.
-
(1992)
Artificial Life HI, Volume XVII of SFI Studies in the Sciences of Complexity
, pp. 327-346
-
-
Reynolds, C.W.1
-
34
-
-
84958962495
-
Genetic programs and co-evolution developing robust general purpose controllers using local mating in two dimensional populations
-
Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg. and Hans-Paul Schwefel, editors, Berlin, Germany, 22-26 September, Springer Verlag
-
Andreas Ronge and Mats G. Nordahl. Genetic programs and co-evolution developing robust general purpose controllers using local mating in two dimensional populations. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg. and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, volume 1141 of LNCS, pages 81-90. Berlin, Germany, 22-26 September 1996. Springer Verlag.
-
(1996)
Parallel Problem Solving from Nature IV, Proceedings of the International Conference on Evolutionary Computation, Volume 1141 of LNCS
, pp. 81-90
-
-
Ronge, A.1
Nordahl, M.G.2
-
37
-
-
0021518106
-
A theory of the learnable
-
L. G. Valiant. A theory of the learnable. Communications of ACM, 27:1134-1142, 1984.
-
(1984)
Communications of ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.G.1
-
38
-
-
0000874753
-
Classifier systems and the animat problem
-
November
-
Stewart W. Wilson. Classifier systems and the animat problem. Machine Learning, 2(3):199-228. November 1987.
-
(1987)
Machine Learning
, vol.2
, Issue.3
, pp. 199-228
-
-
Wilson, S.W.1
-
39
-
-
0001387704
-
Classifier fitness based on accuracy
-
Stewart 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
-
41
-
-
0000648788
-
Generalization in the XCS classifier system
-
J. Koza et al eds., Morgan Kaufmann
-
Stewart W. Wilson. Generalization in the XCS classifier system. In In Proceedings of the Third Annual Genetic Programming Conference. J. Koza et al (eds.), pages 665-674. Morgan Kaufmann, 1998.
-
(1998)
Proceedings of the Third Annual Genetic Programming Conference
, pp. 665-674
-
-
Wilson, S.W.1
-
42
-
-
0002793694
-
State of XCS classifier system research
-
Stewart W. Wilson. State of XCS classifier system research. In Learning Classifier Systems, pages 63-82, 1999.
-
(1999)
Learning Classifier Systems
, pp. 63-82
-
-
Wilson, S.W.1
-
43
-
-
84942897286
-
Mining oblique data with XCS
-
Stewart W. Wilson, Mining oblique data with XCS. In IWLCS, pages 158-176, 2000.
-
(2000)
IWLCS
, pp. 158-176
-
-
Wilson, S.W.1
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