439 search results - page 1 / 88 » Maximum entropy methods for biological sequence modeling |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
COMAD
2008
13 years 6 months ago
2008
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
RECOMB
2003
Springer
14 years 5 months ago
2003
Springer
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
AAAI
2008
13 years 7 months ago
2008
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
IJBRA
2006
13 years 4 months ago
2006
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...