Result 1 to 20 of 35 total
io-port 02236985 Rubin, E.J.;
Shaffer, C.A.;
Ramakrishnan, N.;
Watson, L.T.;
Dymond, R.;
Kibler, D.;
Dietz, R.;
Chanat, J.;
Lohani, V.;
Bosch, D.;
Speir, C.
From landscapes to waterscapes: a PSE for landuse change analysis. (English)
Eng. Comput. (Lond.) 19, No. 1, 9-25 (2003).
1
The UCI KDD archive of large data sets for data mining research and experimentation. (English)
SIGKDD Explor. 2, No. 2, 81-85 (2000).
2
Analysis of yeast’s ORF upstream regions by parallel processing, microarrays, and computational methods (English)
ISMB, 190-201 (2000).
3
Minimum generalization via reflection: A fast linear threshold learner. (English)
Mach. Learn. 37, No.1, 51-73 (1999).
4
Detecting motifs from sequences (English)
ICML, 181-190 (1999).
5
A review of machine learning. (English)
AI Mag. 19, No. 1, 136 (1998).
6
Learning symbolic prototypes (English)
ICML, 75-82 (1997).
7
Symbolic nearest mean classifiers (English)
AAAI/IAAI, 82-87 (1997).
8
Large plateaus and plateau search in Boolean satisfiability problems: When to give up searching and start again. (English)
Johnson, David S. (ed.) et al., Cliques, coloring, and satisfiability. Second DIMACS implementation challenge. Proceedings of a workshop held at DIMACS, October 11‒13, 1993. Providence, RI: American Mathematical Society. DIMACS, Ser. Discrete Math. Theor. Comput. Sci. 26, 437-455 (1996).
9
Generation of attributes for learning algorithms (English)
AAAI/IAAI, Vol. 1, 806-811 (1996).
10
Learning prototypical concept descriptions (English)
ICML, 158-166 (1995).
11
Concept sharing: A means to improve multi-concept learning (English)
ICML, 89-96 (1993).
12
Learning episodes for optimization (English)
ML, 379-384 (1992).
13
Steppingstone: an empirical and analytical evaluation (English)
AAAI, 527-532 (1991).
14
Comparing instance-averaging with instance-saving learning algorithms. (English)
Change of representation and inductive bias, Proc. 1st Int. workshop, Tarrytown, NY/USA 1988, Kluwer Int. Ser. Eng. Comput. Sci. 87, 231-246 (1990).
15
Noise-tolerant instance-based learning algorithms. (English)
IJCAI 89, Proc. Int. Conf., Detroit, MI/USA 1989, 794-799 (1989).
16
Learning subgoal sequences for planning. (English)
IJCAI 89, Proc. Int. Conf., Detroit, MI/USA 1989, 609-614 (1989).
17
Instance-based prediction of real-valued attributes (English)
Computational Intelligence 5, 51-57 (1989).
18
Learning subgoal sequences for planning (English)
IJCAI, 609-614 (1989).
19
Noise-tolerant instance-based learning algorithms (English)
IJCAI, 794-799 (1989).
20
Result 1 to 20 of 35 total
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