41 search results - page 3 / 9 » New decoding algorithms for Hidden Markov Models using dista... |
BMCBI
2006
13 years 7 months ago
2006
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
ICB
2007
Springer
13 years 9 months ago
2007
Springer
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...