---
product_id: 60413043
title: "Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning, 23)"
brand: "rina dechter"
price: "1484 kr"
currency: DKK
in_stock: true
reviews_count: 1
url: https://www.desertcart.dk/products/60413043-reasoning-with-probabilistic-and-deterministic-graphical-models-exact-algorithms-synthesis
store_origin: DK
region: Denmark
---

# Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning, 23)

**Brand:** rina dechter
**Price:** 1484 kr
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning, 23) by rina dechter
- **How much does it cost?** 1484 kr with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.dk](https://www.desertcart.dk/products/60413043-reasoning-with-probabilistic-and-deterministic-graphical-models-exact-algorithms-synthesis)

## Best For

- rina dechter enthusiasts

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## Description

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## Images

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## Customer Reviews

### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars







  
  
    A unified view of many inference problems and methods
  

*by A***R on Reviewed in the United States on August 28, 2014*

I have always appreciated Rina Dechter's work, particularly for the focus on viewing multiple inference problems and methods, developed over the years in different AI communities, in a unified framework. Such unified understanding provides a much more articulated way of thinking about inference problems, because the knowledge about one method can be translated and borrowed for another much more easily.This book is a concise, yet deep, overview of many methods for many different problems seen from a graphical models point of view (deterministic constraint processing, probabilistic inference in Bayesian and Markov networks, cost networks, mixed networks, MAP, MPE). It starts by presenting a unified view of them all, and proceeds by discussing multiple methods, from simpler to more sophisticated, in a gradual and natural sequence that is easy to understand. It covers inference methods such as belief propagation, variable elimination, junction tree, and search methods (OR search and then AND-OR search). At the end it discusses issues in integrating these methods, and how they relate to each other. After reading the book I had much better idea of where all these elements fit within this landscape.

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*Product available on Desertcart Denmark*
*Store origin: DK*
*Last updated: 2026-04-23*