COVID-19 Response at Fishpond

Read what we're doing...

An Introduction to Computational Learning Theory
By

Rating

Product Description
Product Details

Table of Contents

The probably approximately correct learning model; Occam's razor; the Vapnik-Chervonenkis dimension; weak and strong learning; learning in the presence of noise; inherent unpredictability; reducibility in PAC learning; learning finite automata by experimentation; appendix - some tools for probabilistic analysis.

About the Author

Michael J. Kearns is Professor of Computer and Information Science at the University of Pennsylvania. Umesh Vazirani is Roger A. Strauch Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley.

Ask a Question About this Product More...
Write your question below:
Look for similar items by category
Item ships from and is sold by Fishpond.com, Inc.
Back to top