<--- Back to Details
First PageDocument Content
Hidden Markov model / Estimation theory / Speech recognition / Expectation–maximization algorithm / Normal distribution / Layered hidden Markov model / Statistics / Markov models / Bioinformatics
Date: 2011-10-29 18:00:09
Hidden Markov model
Estimation theory
Speech recognition
Expectation–maximization algorithm
Normal distribution
Layered hidden Markov model
Statistics
Markov models
Bioinformatics

Generalized Gaussian Distributions for Sequential Data Classification

Add to Reading List

Source URL: profs.sci.univr.it

Download Document from Source Website

File Size: 165,48 KB

Share Document on Facebook

Similar Documents

IEEE TRANSACTION OF BIOMEDICAL ENGINEERING, VOL. , NO. , 1 An Expectation-Maximization Algorithm Based Kalman Smoother Approach for Event-Related

DocID: 1u0eo - View Document

EXPECTATION-MAXIMIZATION (EM) ALGORITHM FOR INSTANTANEOUS FREQUENCY ESTIMATION WITH KALMAN SMOOTHER Md. Emtiyaz Khan, D. Narayana Dutt Department of Electrical Communication Engineering Indian Institute of Science, Banga

DocID: 1tOYe - View Document

Expectation Maximization (EM) Algorithm and Generative Models for Dim. Red. Piyush Rai Machine Learning (CS771A) Sept 28, 2016

DocID: 1tepj - View Document

The Expectation-Maximization Algorithm Gautham Nair 1 An approximation to the log likelihood in the

DocID: 1mtQG - View Document

CS229 Lecture notes Andrew Ng Mixtures of Gaussians and the EM algorithm In this set of notes, we discuss the EM (Expectation-Maximization) for density estimation. Suppose that we are given a training set {x(1) , . . . ,

DocID: 1mq1J - View Document