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Probabilistic Graphical Models

Principles and Techniques

Nir Friedman

Editore:: The MIT Press
Collana:: Adaptive Computation and Machine Learning series
EAN:: 9780262013192
ISBN:: 0262013193
Pagine:: 1208
Formato:: Hardback
Lingua:: Inglese

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Descrizione Probabilistic Graphical Models

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.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.

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Descrizione Probabilistic Graphical Models

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