4 search results - page 1 / 1 » Multi-Class Sparse Bayesian Regression for Neuroimaging Data... |
MICCAI
2010
Springer
13 years 2 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 ...
IJDMB
2008
13 years 4 months ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
NIPS
2008
13 years 6 months ago
2008
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...