Amvik eBook Solutions

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

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

This book provides a platform for academics and practitioners for sharing innovative results, approaches, developments, and research projects in computer scienc

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