-
1
-
-
85172413460
-
Learning first order logic rules with a genetic algorithm
-
Montreal, Canada, AAAI Press
-
S. Augier, G. Venturini, and Y. Kodratoif. Learning first order logic rules with a genetic algorithm. In Proc. of the 1st International Conference on Knowledge Discovery and Data Mining, pages 21-26, Montreal, Canada, 1995. AAAI Press.
-
(1995)
Proc. of the 1st International Conference on Knowledge Discovery and Data Mining
, pp. 21-26
-
-
Augier, S.1
Venturini, G.2
Kodratoif, Y.3
-
5
-
-
0030649484
-
Solving the multipleinstance problem with axis-parallel rectangles
-
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Perez. Solving the multipleinstance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2): 31-71, 1997.
-
(1997)
Artificial Intelligence
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Perez, T.3
-
7
-
-
0000662737
-
Search-intensive concept induction
-
A. Giordana and F. Neri. Search-intensive concept induction. Evolutionary Computation, 3(4): 375-416, 1995.
-
(1995)
Evolutionary Computation
, vol.3
, Issue.4
, pp. 375-416
-
-
Giordana, A.1
Neri, F.2
-
8
-
-
0031164490
-
Integrating multiple learning startegies in first order logics
-
A. Giordana, F. Neri, L. Saltta, and M. Botta. Integrating multiple learning startegies in first order logics. Machine Learning, 27: 209-240, 1997.
-
(1997)
Machine Learning
, vol.27
, pp. 209-240
-
-
Giordana, A.1
Neri, F.2
Saltta, L.3
Botta, M.4
-
9
-
-
0027696043
-
Competition-based induction of decision models from examples
-
D. P. Greene and S. F. Smith. Competition-based induction of decision models from examples. Machine Learning, 13: 229-257, 1993.
-
(1993)
Machine Learning
, vol.13
, pp. 229-257
-
-
Greene, D.P.1
Smith, S.F.2
-
12
-
-
0343106322
-
-
Technical Report 168, TUCS Technical Report series, March URL
-
J. Hekanaho. DOGMA: A GA-Based Relational Learner. Technical Report 168, TUCS Technical Report series, March 1998. URL: http://www. tucs. fi/publications/techreports/.
-
(1998)
DOGMA: A GA-Based Relational Learner
-
-
Hekanaho, J.1
-
13
-
-
0027696178
-
A knowledge-intensive genetic algorithm for supervised learning
-
C. Z. Janikow. A knowledge-intensive genetic algorithm for supervised learning. Machine Learning, 13: 189-228, 1993.
-
(1993)
Machine Learning
, vol.13
, pp. 189-228
-
-
Janikow, C.Z.1
-
14
-
-
84904506139
-
MLC++: A machine learning library in C++
-
IEEE Computer Society Press, URL
-
R. Kohavi, G. John, R. Long, D. Manley, and K. Pfleger. MLC++: A machine learning library in C++. In Tools with Artificial Intelligence, pages 740-743. IEEE Computer Society Press, 1994. URL: http://www. sgi. com/Technology/mlc/.
-
(1994)
Tools with Artificial Intelligence
, pp. 740-743
-
-
Kohavi, R.1
John, G.2
Long, R.3
Manley, D.4
Pfleger, K.5
-
15
-
-
0003046840
-
A theory and methodology of inductive learning
-
R.S. Michalski, J.G. Carbonell, and T.M. Mitchell, editors, Palo Alto, CA, Tioga Press
-
R. S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, volume I, pages 83-134, Palo Alto, CA, 1983. Tioga Press.
-
(1983)
Machine Learning: An Artificial Intelligence Approach
, vol.1
, pp. 83-134
-
-
Michalski, R.S.1
-
16
-
-
85018108766
-
Experimental comparison of human and machine learning formalisms
-
Morgan Kaufmann
-
S. Muggleton, M. Bain, J. Hayes-Michie, and D. Michie. Experimental comparison of human and machine learning formalisms. In Proc. of the 6th International Workshop on Machine Learning, pages 113-118. Morgan Kaufmann, 1989.
-
(1989)
Proc. of the 6th International Workshop on Machine Learning
, pp. 113-118
-
-
Muggleton, S.1
Bain, M.2
Hayes-Michie, J.3
Michie, D.4
-
17
-
-
0001172265
-
Learning logical definitions from relations
-
J. R. Quinlan. Learning logical definitions from relations. Machine Learning, 5: 239-266, 1990.
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, J.R.1
-
20
-
-
0001259758
-
Overfitting avoidance as bias
-
C. Schaffer. Overfitting avoidance as bias. Machine Learning, 10: 153-178, 1993.
-
(1993)
Machine Learning
, vol.10
, pp. 153-178
-
-
Schaffer, C.1
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