Making Reliable Diagnoses with Machine Learning: A Case Study-Reference-Cited by-同舟云学术

Making Reliable Diagnoses with Machine Learning: A Case Study

Published:2001 Issue: Volume: Page:88-98
ISSN:0302-9743
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Kukar Matjaž

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48229-6_12

Reference13 articles.

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2. J. Dougherty, R. Kohavi, and M. Sahami. Supervised and unsupervised discretization of continuous features. In Proc. ICML’95, pages 194–202. Morgan Kaufmann, 1995.

3. A. Gammerman, V. Vovk, and V. Vapnik. Learning by transduction. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pages 148–155, Madison, Wisconsin, 1998.

4. A. L. Gibbs and F. E. Su. On choosing and bounding probability metrics. Technical report, Cornell School of Operations Research, 2000.

5. M. Kukar. Estimating classifications’ reliability. PhD thesis, University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia, 2001. In Slovene.

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