122 search results - page 4 / 25 » Exploiting a Probabilistic Hierarchical Model for Generation |
BMCBI
2010
13 years 7 months ago
2010
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
MM
2005
ACM
14 years 1 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
RECOMB
2002
Springer
14 years 8 months ago
2002
Springer
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
NIPS
2001
13 years 9 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...