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Can I read Learning in Graphical Models (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) on EtoBox?
Learning in Graphical Models (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) by Michael I. Jordan (Editor) is a computer science book available to read on EtoBox.
What is Learning in Graphical Models (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) about?
Presents an exploration of issues related to learning within the graphical model formalism. This text covers topics such as: inference for Bayesian networks; Monte Carlo methods; variational methods; and learning with Bayesian networks.
Who reads Learning in Graphical Models (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Michael I. Jordan (Editor)
- Publisher
- A Bradford Book
- Published
- 1998
- Language
- EN
- ISBN
- 9780262600323
- Category
- computer science
- Subjects
- Mathematics, Technology, Computers
- Rating
- 4.7 / 5 (3 ratings)
- Updated
- 2026-03-14
