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Lecture8 Probabilistic Graphical Model v1.0 by HK is a document available to read on EtoBox.
What is Lecture8 Probabilistic Graphical Model v1.0 about?
The document provides an introduction to probabilistic graphical models, focusing on their structure, types, and applications in machine learning. It discusses Bayesian networks and Markov random fields, emphasizing concepts like conditional independence, Markov blankets, and inference methods. The presentation also covers learning fully and partially observed Bayesian networks, along with various inference techniques.
- Author
- HK
- Language
- EN