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~~NOTOC~~ | ~~NOTOC~~ | ||
- | ====== | + | ====== |
===== Description | ===== Description | ||
- | The course | + | The course |
+ | * Bayesian Decision theory, Generative vs Discriminative modeling | ||
+ | * Generative Models - multivariate Gaussian, Gaussian mixture model (GMM), hidden Markov model (HMM), Multinomial, | ||
+ | * Discriminative Models - linear discriminant, | ||
+ | * Statistical Modeling Methods - maximum likelihood estimation (MLE), Expectation-Maximization (EM), discriminative training (DT) | ||
+ | * Some selected applications - speech recognition, | ||
+ | |||
+ | The above methods are equally applicable to other research areas, such as data mining, information retrieval, computer vision, computational linguistics and so on. | ||
+ | |||
+ | ===== Announcements ===== | ||
+ | |||
+ | * Check the left tab [[: | ||
===== Lecture Times ===== | ===== Lecture Times ===== | ||
- | * Section | + | * Section |
+ | |||
+ | ===== Lecturer ===== | ||
+ | |||
+ | * Prof. [[http:// | ||
start.1187105762.txt.gz · Last modified: 2011/11/16 18:32 (external edit)