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start [2011/11/16 18:37] – hj | start [2012/01/11 17:07] (current) – hj | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | ====== | + | ====== |
===== Description | ===== Description | ||
- | The course introduces some basic and important | + | The course introduces some basic statistical |
- | * Bayesian Decision theory | + | * Bayesian Decision theory, Generative vs Discriminative modeling |
- | * Generative Models - multivariate Gaussian, Gaussian mixture model (GMM), hidden Markov model (HMM), Markov chain model, n-gram, graphical models | + | * Generative Models - multivariate Gaussian, Gaussian mixture model (GMM), hidden Markov model (HMM), Multinomial, Markov chain model, n-gram, graphical models |
- | * Discriminative Models - linear discriminant, | + | * Discriminative Models - linear discriminant, |
* Statistical Modeling Methods - maximum likelihood estimation (MLE), Expectation-Maximization (EM), discriminative training (DT) | * Statistical Modeling Methods - maximum likelihood estimation (MLE), Expectation-Maximization (EM), discriminative training (DT) | ||
- | * Some Selected | + | * Some selected |
+ | The above methods are equally applicable to other research areas, such as data mining, information retrieval, computer vision, computational linguistics and so on. | ||
- | The methods are equally applicable to other research areas, such as data mining, information retrieval, computer vision, computational linguistics. | + | ===== Announcements ===== |
+ | * Check the left tab [[: | ||
===== Lecture Times ===== | ===== Lecture Times ===== | ||
- | * Section | + | * Section |
+ | |||
+ | ===== Lecturer ===== | ||
+ | |||
+ | * Prof. [[http:// | ||
start.1321468653.txt.gz · Last modified: 2011/11/16 18:37 by hj