410 search results - page 1 / 82 » Incremental Construction of Structured Hidden Markov Models |
IJCAI
2007
13 years 10 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
EMMCVPR
2009
Springer
14 years 3 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
BMCBI
2006
13 years 9 months ago
2006
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
BMCBI
2004
13 years 9 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...