David J. C. MacKay's book. The textbook used for the information theory course in Cambridge University. Also an excellent book for machine learning. The special feature of this book is it reveals the relationship between information theory and machi
Permutations are ubiquitous in many real-world problems, such as voting, ranking, and data association. Representing uncertainty over permutations is challenging, since there are n! possibilities, and typical compact and factorized probability distr
自然语言处理相关书籍,此为上册 This book introduces a number of fundamental techniques for computer semantics representation of natural language and performing inference with the result. Both the underlying theory and there inplementation in Prolog are discussed.
自然语言处理相关书籍,此为上册 This book introduces a number of fundamental techniques for computer semantics representation of natural language and performing inference with the result. Both the underlying theory and there inplementation in Prolog are discussed.
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian m
