24 search results - page 4 / 5 » Probabilistic models for biological sequences: selection and... |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
PAMI
2008
13 years 5 months ago
2008
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
MVA
2007
13 years 4 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
BMCBI
2008
13 years 5 months ago
2008
Background: The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints ...
ICVS
1999
Springer
13 years 9 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...