82 search results - page 5 / 17 » Learning Programs: A Hierarchical Bayesian Approach |
BMCBI
2006
13 years 7 months ago
2006
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
NIPS
2008
13 years 8 months ago
2008
Many nonlinear dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
TMI
2010
13 years 5 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...