title: Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Le)
author: Rina Dechter
description: Rina Dechter research centers on computational aspects of automated reasoning and knowledge representation including search, constraint processing, and probabilistic reasoning. She is a professor of computer science at the University of California, Irvine. She holds a Ph.D. from UCLA, an M.S. degree in applied mathematics from the Weizmann Institute, and a B.S. in mathematics and statistics from the Hebrew University in Jerusalem. She is an author of Constraint Processing published by Morgan Kaufmann (2003), has co-authored over 150 research papers, and has served on the editorial boards of: <i>Artificial Intelligence</i>, the <i>Constraint Journal</i>, <i>Journal of Artificial Intelligence Research (JAIR)</i>, and <i>Journal of Machine Learning Research (JMLR)</i>. She is a fellow of the American Association of Artificial Intelligence, was a Radcliffe Fellow 2005-2006, received the 2007 Association of Constraint Programming (ACP) Research Excellence Award, and she is a 2013 ACM Fellow. She has been Co-Editor-in-Chief of <i>Artificial Intelligence</i> since 2011. She is also co-editor with Hector Geffner and Joe Halpern of the book <i>Heuristics, Probability and Causality: A Tribute to Judea Pearl</i>, College Publications, 2010.
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  **Introduction to  
  Graph Neural Networks**
  
  
  
  
  
  
  
  
  
  
  
  **Synthesis Lectures on Artificial Intelligence and Machine Learning**
  
  
  Editors
  
  
  **Ronald Brachman, _Jacobs Technion-Cornell Institute at Cornell Tech_**
  
  
  **Francesca Rossi, _IBM Research AI_**
  
  
  **Peter Stone, _University of Texas at Austin_**
  
  
  Introduction to Graph Neural Networks
  
  
  Zhiyuan Liu and Jie Zhou
  
  
  2020
  
  
  Introduction to Logic Programming
  
  
  Michael Genesereth and Vinay Chaudhri
  
  
  2020
  
  
  Federated Learning
  
  
  Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, and Tianjian Chen
  
  
  2019
  
  
  An Introduction to the Planning Domain Definition Language
  
  
  Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christina Muise
  
  
  2019
  
  
  Reasoning with Probabilistic and Deterministic Graphical Models: Exact
  Algorithms, Second Edition
  
  
  Rina Dechter
  
  
  2019
  
  
  Learning and Decision-Making from Rank Data
  
  
  Liron Xia
  
  
  2019
  
  
  Lifelong Machine Learning, Second Edition
  
  
  Zhiyuan Chen and Bing Liu
  
  
  201