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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Probabilistic Graphical Models
• Autor: Koller
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 1270
• EAN: 9780262013192
• ISBN: 0262013193
• ID: 04044192
• Nakladatelství: MIT Press Ltd
• Hmotnost: 2238 g
• Rozměry: 235 × 209 × 48 mm
• Datum vydání: 31. July 2009

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