Faithin Omaha eBook Collection

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for rese

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and

Annotation These original contributions converge on an exciting and fruitful intersection of three historically distinct areas of learning research: computation

The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifi

We also give algorithms for learning powerful concept classes under the uniform distribution, and give equivalences between natural models of efficient learnabi