Variational Bayesian Learning Theory
Kazuho Watanabe, Masashi (University of Tokyo) Sugiyama, Shinichi (Technische Universitat Berlin) Nakajima
Cambridge University Press, 2019
202,75 €On orderDelivery: 2-3 weeks
Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.
- ISBN-13
- 9781107076150
- ISBN-10
- 1107076153
- Publisher
- Cambridge University Press
- Year
- 2019
- Publication date
- 2019-07-11
- Pages
- 558
- Dimensions
- 159x235x38
- Weight
- 922