Learning two-tiered descriptions of flexible concepts: The POSEIDON system

Author:

Bergadano F.,Matwin S.,Michalski R. S.,Zhang J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference51 articles.

1. Bareiss, R. (1989).An exemplar-based knowledge acquisition. Academic Press.

2. Bergadano, F., & Giordana, A. (1989). Pattern classification: An approximate reasoning framework.International Journal of Intelligent Systems.

3. Bergadano, F., Matwin, S., Michalski, R.S., & Zhang, J. (1988a).Learning flexible concept descriptions using a two-tiered knowledge representation: Part 1?ideas and a method Reports of Machine Learning and Inference Laboratory. MLI-88-4. Center for Artificial Intelligence, George Mason University.

4. Bergadano, F., Matwin, S., Michalski, R.S., & Zhang, J. (1988b). Measuring quality of concept descriptions.Proceedings of the Third European Working Sessions on Learning (pp. 1?14). Glasgow.

5. Bloedorn, E. & Michalski, R.S. (1991). Data-driven constructive induction in AQ17: A method and experiments (Reports of Machine Learning and Inference Laboratory). Center for Artificial Intelligence, George Mason University.

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