101 search results - page 13 / 21 » Multi-task reinforcement learning: a hierarchical Bayesian a... |
90
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BMCBI
2006
14 years 9 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
14 years 8 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...
89
Voted
ICML
2005
IEEE
15 years 10 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
14 years 11 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...
108
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TMI
2010
14 years 8 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...