30 search results - page 3 / 6 » Clustering-Based Construction of Hidden Markov Models for Ge... |
BMCBI
2006
13 years 7 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 ...
AI
2006
Springer
13 years 7 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
ISMB
1994
13 years 8 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
BMCBI
2007
13 years 7 months ago
2007
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
ESANN
2007
13 years 9 months ago
2007
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...