22 search results - page 1 / 5 » A linear memory algorithm for Baum-Welch training |
BMCBI
2005
13 years 4 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
BMCBI
2008
13 years 4 months ago
2008
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
IJON
2000
2000
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
13 years 4 months ago
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper describes the conceptual and algorithmic evolutions of Memory Based Parametric Equalization (MPEQ) needed to exploit the potentialities of the method within the state-o...