Proceedings of the Fourth Annual Workshop on Computational Learning Theory, University of California, Santa Cruz, August 5-7, 1991

The proceedings of COLT 91 focus on quantitative theories of machine learning. Topics include analyses for a variety of models of important parameters of machine learning, such as computational cost, accuracy of generalization, and the number of interactions needed. No index. Annotation copyright Bo