-
1
-
-
85152629807
-
Incremental constructive induction: An instance-based approach
-
Evanston, Illinois, Morgan Kaufmann
-
D. W. Aha. Incremental constructive induction: An instance-based approach. In Proc. of the Eighth International Workshop on Machine Learning, pages 117-121, Evanston, Illinois, 1991. Morgan Kaufmann.
-
(1991)
Proc. of the Eighth International Workshop on Machine Learning
, pp. 117-121
-
-
Aha, D.W.1
-
2
-
-
22944468948
-
Constructive induction using genetic programming
-
T. Fogarty and G. Venturini, editors, Bari, Italy, July
-
H. Bensusan and I. Kuscu. Constructive induction using genetic programming. In T. Fogarty and G. Venturini, editors, Proc. of Evolutionary Computing and Machine Learning Workshop (ICML'96), Bari, Italy, July 1996.
-
(1996)
Proc. of Evolutionary Computing and Machine Learning Workshop (ICML'96)
-
-
Bensusan, H.1
Kuscu, I.2
-
5
-
-
0004761280
-
Inductive learning of structural descriptions: Evaluation criteria and comparative review of selected methods
-
July
-
T. G. Dietterich and R. S. Michalski. Inductive learning of structural descriptions: Evaluation criteria and comparative review of selected methods. Artificial Intelligence, 16(3):257-294, July 1981.
-
(1981)
Artificial Intelligence
, vol.16
, Issue.3
, pp. 257-294
-
-
Dietterich, T.G.1
Michalski, R.S.2
-
6
-
-
0035500276
-
Understanding the crucial role of attribute interaction in data mining
-
November
-
A. A. Freitas. Understanding the crucial role of attribute interaction in data mining. Artificial Intelligence Review, 16(3):177-199, November 2001.
-
(2001)
Artificial Intelligence Review
, vol.16
, Issue.3
, pp. 177-199
-
-
Freitas, A.A.1
-
10
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
R. C. Holte. Very simple classification rules perform well on most commonly used datasets. Machine Learning, 11:63-91, 1993.
-
(1993)
Machine Learning
, vol.11
, pp. 63-91
-
-
Holte, R.C.1
-
11
-
-
0003023369
-
A genetic programming approach to constructive induction
-
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, July Morgan Kauffman
-
Y. Hu. A genetic programming approach to constructive induction. 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, Proc. of the Third Annual Genetic Programming Conference, pages 146-151, University of Wisconsin, Madison, Wisconsin, USA, July 1998. Morgan Kauffman.
-
(1998)
Proc. of the Third Annual Genetic Programming Conference
, pp. 146-151
-
-
Hu, Y.1
-
14
-
-
67649922753
-
Constructing X-of-N attributes with a genetic algorithm
-
San Francisco, July Morgan Kaufmann
-
O. Larsen, A, A. Freitas, and J. C. Nievola. Constructing X-of-N attributes with a genetic algorithm. In Proc. of the Genetic and Evolutionary Computation Conference, page 1268, San Francisco, July 2002. Morgan Kaufmann.
-
(2002)
Proc. of the Genetic and Evolutionary Computation Conference
, pp. 1268
-
-
Larsen, O.1
Freitas, A.A.2
Nievola, J.C.3
-
15
-
-
0004052111
-
Users guide to the PGAPack parallel genetic algorithm library
-
Argonne National Laboratory
-
D. Levine. Users guide to the PGAPack parallel genetic algorithm library. Technical Report 18, Argonne National Laboratory, 1996.
-
(1996)
Technical Report
, vol.18
-
-
Levine, D.1
-
17
-
-
35248828499
-
Genetic programming for attribute construction in data mining
-
C. Ryan, T. Soule, M. Keijzer, E. P. K. Tsang, R. Poli, and E. Costa, editors, Proc. of the Sixth European Conference in Genetic Programming, Springer-Verlag, April
-
F. E. B. Otero, M. M. S. Silva, A. A. Freitas, and J. C. Nievola. Genetic programming for attribute construction in data mining. In C. Ryan, T. Soule, M. Keijzer, E. P. K. Tsang, R. Poli, and E. Costa, editors, Proc. of the Sixth European Conference in Genetic Programming, volume 2610 of Lecture Notes in Computer Science, pages 384-393. Springer-Verlag, April 2003.
-
(2003)
Lecture Notes in Computer Science
, vol.2610
, pp. 384-393
-
-
Otero, F.E.B.1
Silva, M.M.S.2
Freitas, A.A.3
Nievola, J.C.4
-
19
-
-
0025389210
-
Boolean feature discovery in empirical learning
-
G. Pagallo and D. Haussler. Boolean feature discovery in empirical learning. Machine Learning, 5(1):71-99, 1990.
-
(1990)
Machine Learning
, vol.5
, Issue.1
, pp. 71-99
-
-
Pagallo, G.1
Haussler, D.2
-
22
-
-
0023803244
-
Predicting the secondary structure of globular proteins using neural network models
-
August
-
N. Qian and T. J. Sejnowski. Predicting the secondary structure of globular proteins using neural network models. Journal of Molecular Biology, 202(4):865-884, August 1988.
-
(1988)
Journal of Molecular Biology
, vol.202
, Issue.4
, pp. 865-884
-
-
Qian, N.1
Sejnowski, T.J.2
-
24
-
-
0002591462
-
Lookahead feature construction for learning hard concepts
-
University of Massachusetts, Amherst, MA, USA, June Morgan Kaufmann
-
H. Ragavan and L. A. Rendell. Lookahead feature construction for learning hard concepts. In Proc. of the Tenth International Conference on Machine Learning, pages 252-259, University of Massachusetts, Amherst, MA, USA, June 1993. Morgan Kaufmann.
-
(1993)
Proc. of the Tenth International Conference on Machine Learning
, pp. 252-259
-
-
Ragavan, H.1
Rendell, L.A.2
-
25
-
-
0141469309
-
A hybrid approach to feature selection and generation using an evolutionary algorithm
-
Birmingham, U.K., September
-
O. Ritthoff, R. Klinkenberg, S. Fischer, and I. Mierswa. A hybrid approach to feature selection and generation using an evolutionary algorithm. In UK Workshop on Computational Intelligence, Birmingham, U.K., September 2002.
-
(2002)
UK Workshop on Computational Intelligence
-
-
Ritthoff, O.1
Klinkenberg, R.2
Fischer, S.3
Mierswa, I.4
-
26
-
-
35248833168
-
Genetic approach to constructive induction based on non-algebraic feature representation
-
M. R. Berthold, H.-J. Lenz, E. Bradley, R. Kruse, and C. Borgelt, editors, Lecture Notes in Computer Science, Springer-Verlag, August
-
L. S. Shafti and E. Pérez. Genetic approach to constructive induction based on non-algebraic feature representation. In M. R. Berthold, H.-J. Lenz, E. Bradley, R. Kruse, and C. Borgelt, editors, Proc. of the Fifth International Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science, pages 599-610. Springer-Verlag, August 2003.
-
(2003)
Proc. of the Fifth International Symposium on Intelligent Data Analysis
, pp. 599-610
-
-
Shafti, L.S.1
Pérez, E.2
-
27
-
-
22944449329
-
Machine learning by multi-feature extraction using genetic algorithms
-
C. Lemaître, C. A. Reyes, and J. A. Gonzalez, editors, Lecture Notes in Computer Science, Springer-Verlag, November
-
L. S. Shafti and E. Pérez. Machine learning by multi-feature extraction using genetic algorithms. In C. Lemaître, C. A. Reyes, and J. A. Gonzalez, editors, Proc. of the Ninth Ibero-American Conference on Artificial Intelligence - Advances in Artificial Intelligence, Lecture Notes in Computer Science, pages 246-255. Springer-Verlag, November 2004.
-
(2004)
Proc. of the Ninth Ibero-American Conference on Artificial Intelligence - Advances in Artificial Intelligence
, pp. 246-255
-
-
Shafti, L.S.1
Pérez, E.2
-
28
-
-
35248885574
-
Feature construction and selection using genetic programming and a genetic algorithm
-
C. Ryan, T. Soule, M. Keijzer, E. P. K. Tsang, R. Poli, and E. Costa, editors, Proc. of the sixth European Conference in Genetic Programming, Essex, UK, April Springer-Verlag
-
M. G. Smith and L. Bull. Feature construction and selection using genetic programming and a genetic algorithm. In C. Ryan, T. Soule, M. Keijzer, E. P. K. Tsang, R. Poli, and E. Costa, editors, Proc. of the sixth European Conference in Genetic Programming, volume 2610 of Lecture Notes in Computer Science, pages 229-237, Essex, UK, April 2003. Springer-Verlag.
-
(2003)
Lecture Notes in Computer Science
, vol.2610
, pp. 229-237
-
-
Smith, M.G.1
Bull, L.2
-
29
-
-
0032028849
-
Feature space transformation using genetic algorithms
-
March-April
-
H. Vafaie and K. DeJong. Feature space transformation using genetic algorithms. IEEE Intelligent Systems, 13(2):57-65, March-April 1998.
-
(1998)
IEEE Intelligent Systems
, vol.13
, Issue.2
, pp. 57-65
-
-
Vafaie, H.1
Dejong, K.2
-
30
-
-
0042771797
-
A scheme for feature construction and a comparison of empirical methods
-
Sydney, Australia, August Morgan Kaufmann
-
D. S. Yang, L. A. Rendell, and G. Blix. A scheme for feature construction and a comparison of empirical methods. In Proc. of the Twelfth International Joint Conference on Artificial Intelligence, pages 699-704, Sydney, Australia, August 1991. Morgan Kaufmann.
-
(1991)
Proc. of the Twelfth International Joint Conference on Artificial Intelligence
, pp. 699-704
-
-
Yang, D.S.1
Rendell, L.A.2
Blix, G.3
-
31
-
-
0033699346
-
Constructing X-of-N attributes for decision tree learning
-
Z. Zheng. Constructing X-of-N attributes for decision tree learning. Machine Learning, 40(1):35-75, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.1
, pp. 35-75
-
-
Zheng, Z.1
|