Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30) - Hardcover

Anthony, M. H. G.; Biggs, N.

 
9780521416030: Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science, Series Number 30)

Synopsis

This an introduction to the theory of computational learning.

"synopsis" may belong to another edition of this title.

Review

."..clean, readable, self-contained treatment of the foundations of PAC learnability theory." R. Roos, Computing Reviews ."..notable for its clean, readable, self-contained treatment of the foundations of PAC learnability theory." R. Roos, Artificial Intelligence ."..a welcome addition to the limited range of literature on computational learning theory, and it should perform a useful service in alerting a wider audience to this interesting and lively area..." Mathematical reviews

Book Description

This is a self contained volume in which the authors concentrate on the 'probably approximately correct model'. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title