Relevance and insight in experimental studies

IEEE Expert-Intelligent Systems and their Applications

Volumn 11, Issue 5, 1996, Pages 11-12

  Langley, Pat ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0008190110     PISSN: 08859000     EISSN: None     Source Type: Journal    
DOI: 10.1109/64.539009     Document Type: Article

References (9)

1. H.A. Simon, Sciences of the Artificial, MIT Press, Cambridge, Mass., 1969.
2. I. Kononenko, "Semi-Naive Bayesian Classifier," Proc. Sixth European Working Session on Learning, Pittman, Glasgow, Scotland, 1991, pp. 206-219.
3. P. Langley, "Induction of Recursive Bayesian Classifiers," Proc. 1993 European Conf. on Machine Learning, Springer-Verlag, Vienna, 1993, pp. 153-164.
4. D. Kibler and P. Langley, "Machine Learning as an Experimental Science," Proc. Third European Working Session on Learning, Pittman, 1988, pp. 81-92.
5. (Reprinted in J.W. Shavlik and T.G. Dietterich, eds., Readings in Machine Learning, Morgan Kaufmann, San Francisco, 1990.)
6. P.R. Cohen, Empirical Methods for Artificial Intelligence, MIT Press, 1995.
7. UCI Machine Learning Repository http://www.ics.uci.edu/~mlearn/ ML.Repository.html
8. Experimental Knowledge Systems Lab http://eksl-www.cs.umass.edu/eksl.html
9. National Institute of Standards and Technology's Text Retrieval (TREC) Home Page http://potomc.ncsl.nist.gov/trec/