TY  - BOOK
AU  - Koller, Daphne
AU  - Friedman, Nir
TI  - Probabilistic graphical models: principles and techniques
SN  - 9780262013192 (hb.)
U1  - 519.5420285 
PY  - 2009///
CY  - United States of America
PB  - MIT Press
KW  - Graphical modeling (Statistics)
KW  - Mathematical statistics
KW  - Graphic methods
N2  - Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality
ER  -