38 search results - page 2 / 8 » Efficient decoding algorithms for generalized hidden Markov ... |
CIKM
2007
Springer
13 years 9 months ago
2007
Springer
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
TIT
2008
13 years 5 months ago
2008
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
BMCBI
2005
13 years 5 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...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...