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Tag graphical models

Mixture-of-Parents Maximum Entropy Markov Models

A complex topic in the field of directed graphical models is the mixture-of-parents maximum entropy Markov model (MoP-MEMM). This model, proposed by David S. Rosenberg, Dan Klein, and Ben Taskar, extends the Maximum Entropy Markov Model (MEMM) by allowing the… Continue Reading →

Gaussian Graphical Models and Trek Separation: A Comprehensive Analysis

What are Gaussian graphical models? How does the trek separation criterion generalize the d-separation criterion? What are the applications of trek separation for Gaussian graphical models? In this article, we will delve into these questions and provide a thorough understanding… Continue Reading →

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