Sumários
Hidden Markov models
22 novembro 2017, 14:00 • Jorge Salvador Marques
Definition of HMM. Generation of state and observation sequence. Propagation of state uncertainty without and with observations. Estimation of the likelihood. The Forward-Backward algorithm. Estimation of the optimal state sequence. The Viterbi algorithm. Problem series #7.
Pattern Recognition
15 novembro 2017, 14:00 • Jorge Salvador Marques
Supervised learning. The plug-in classifier. Estimation of the data conditional distributions. Parametric and non parametric methods. The Parzen method. Problem series #6.
Pattern Recognition
8 novembro 2017, 14:00 • Jorge Salvador Marques
What is a classifier? Performance evaluation. The Bayes classifier. Problem series #5.
Estimation with hidden variables
25 outubro 2017, 14:00 • Jorge Salvador Marques
The EM method. Mixtures of Gaussians. Problem series #4.
Bayesian inference
18 outubro 2017, 14:00 • Jorge Salvador Marques
Bayesian inference. A posteriori distribution. Problem series #3.