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~~NOTOC~~ | ~~NOTOC~~ | ||
- | ====== EECS 6327 Probabilistic Models & Machine Learning (Fall 2016) ====== | + | ====== EECS 6327 Probabilistic Models & Machine Learning (Fall 2019) ====== |
===== Description | ===== Description | ||
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* Generative Models (2) - graphical models, directed vs. indirected graphical models, exact inference, approximate inference (loopy belief propagation, | * Generative Models (2) - graphical models, directed vs. indirected graphical models, exact inference, approximate inference (loopy belief propagation, | ||
* Discriminative Models (1) - linear discriminant, | * Discriminative Models (1) - linear discriminant, | ||
- | * Discriminative Models (2) - neural networks (NN), back-propagation, | + | * Discriminative Models (2) - neural networks (NN), back-propagation, |
* Advanced models: hidden Markov model (HMM), | * Advanced models: hidden Markov model (HMM), | ||
- | * Advanced topics: | + | * Advanced topics: |
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===== Lecture Times ===== | ===== Lecture Times ===== | ||
- | * Section A: Wednesdays | + | * Section A: Mondays |
===== Lecturer ===== | ===== Lecturer ===== | ||
* Prof. [[http:// | * Prof. [[http:// |
start.1472497339.txt.gz · Last modified: 2016/08/29 19:02 by hj