Probabilistic Graphical Models: Principles and Techniques is a study book by Daphne Koller (Stanford University) that provides in-depth insight into the principles and techniques of probabilistic graphical models. This reference work is intended for professionals and students who focus on artificial intelligence and advanced computational methods.
Product specifications
- Author: Daphne Koller (Stanford University)
- Series: Adaptive Computation and Machine Learning series
- Publisher: MIT Press Ltd
- Imprint: MIT Press
- Publication date: 2009-07-31
- Number of pages: 1270
- ISBN: 9780262013192
- Topic: Artificial intelligence (AI)
- BISAC: COMPUTERS / Artificial Intelligence / General