Probabilistic Graphical Models

Produktbeschreibung

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.

Folgende Produkte könnten dir ebenso gefallen

Mastering Probabilistic Graphical Models using Python (Ankan, Ankur; Panda, Abinash , Packt Publishing)

60.95 EUR bei buecher.de

Details - Auf den Wunschzettel - Produkt im Shop von buecher.de

Probabilistic Graphical Models (Sucar, Luis E. , Springer, Berlin; Springer London; Springer)

53.49 EUR bei buecher.de

Details - Auf den Wunschzettel - Produkt im Shop von buecher.de

Capitalism and Freedom (Friedman, Milton , University Of Chicago Press)

16.95 EUR bei buecher.de

Details - Auf den Wunschzettel - Produkt im Shop von buecher.de

Inferential Models: Reasoning with Uncertainty (Liu, Chuanhai; Martin, Ryan , CRC Press)

80.95 EUR bei buecher.de

Details - Auf den Wunschzettel - Produkt im Shop von buecher.de

Time Varying Signal Processing: Zero Crossing Based Models (Seelamantula, Chandra Sekhar; Sreenivas, Thippur V. , CRC Press)

123.95 EUR bei buecher.de

Details - Auf den Wunschzettel - Produkt im Shop von buecher.de