<P>This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no o
Pattern Recognition and Machine Learning
โ Scribed by Christopher M. Bishop
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 749
- Series
- Information science and statistics
- Edition
- 1st ed. 2006. Corr. 2nd printing
- Category
- Library
No coin nor oath required. For personal study only.
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<p><span>This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions whe
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models ha
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