54 search results - page 5 / 11 » A sparse variational Bayesian approach for fMRI data analysi... |
132
Voted
TMI
2008
15 years 2 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
126
Voted
MICCAI
2010
Springer
15 years 1 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
157
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
152
Voted
JMLR
2006
15 years 3 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
118
Voted
PSB
2004
15 years 4 months ago
2004
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...