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Category: Inference Models

PGM 02: Lots of Markov Family members: MC, PMN, CRF…

April 14, 2016May 21, 2016 ~ Irene ~ Leave a comment
Markov Chain

Markov Process is a kind of random process. The main idea is given the current state of the system, its future state does not depend on its past states.
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PGM 01: Bayesian Networks

April 1, 2016May 21, 2016 ~ Irene ~ Leave a comment

lol I started the difficult course of Probabilistic Graphic Models on Coursera.
Continue reading “PGM 01: Bayesian Networks” →

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