Probabilistic Graphical Models Koller Daphne Stanford University
Most tasks require a person or an automated system to reason - to reach conclusions based on available information. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. The framework of probabilistic graphical… Celý popis ↓
Porovnanie cien Probabilistic Graphical Models Koller Daphne Stanford University
Popis Probabilistic Graphical Models Koller Daphne Stanford University
Probabilistic Graphical Models Koller Daphne Stanford University
Most tasks require a person or an automated system to reason - to reach conclusions based on available information. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task.
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. 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.
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- Výrobca
- MIT Press Ltd
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