Information Technology
Criteria for representations of shape
In J. Beck, B. Hope, and A. Rosenfeld (Eds.), Human and machine vision. New York: Academic Press
Building Expert Systems
Hayes-Roth, F., Waterman, D. A., Lenat, D. B.
Reading, Mass.: Addison-Wesley.
Why Should Machines Learn?
See also: C.I.P. #425, Departments of Computer Science and Psychology, Carnegie-Mellon University, 1980In Michalski, R. S., Carbonell, J. G., and Mitchell, T. M. (Eds), Machine Learning, An Artificial Intelligence Approach, Tioga Press, Palo Alto, CA
Scale space filtering
See also:Uniqueness of the Gaussian Kernel for Scale-Space FilteringUnited States PatentEuropean PatentProceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe, West Germany, 1019-1022
Automated Theorem proving : a quarter century review
American Mathematical Soceify 29, 1983
Semantical Considerations on Nonmonotonic Logic
In Proceedings of the Eighth IJCAI, pages 272-279. IJCAI, Karlsruhe, West Germany, August, 1983. Volume 1.
Classification in the KL-ONE representation system
Schmolze, J. G. | Lipkis, T. A.
In IJCAI-83, pp. 330–332.
Learning by experimentation: Acquiring and refining problem-solving heuristics
Mitchell, T. M. | Utgoff, P. E. | Banerji, R.
In Michalski, R. S., Carbonell, J. G., and Mitchell, T. M. (Eds.), Machine Learning: An Artificial Intelligence Approach, pp. 163–190. Morgan Kaufmann.