243 search results - page 21 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
13 years 7 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
ICMLA
2008
13 years 9 months ago
2008
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
In region-based image segmentation, two models dominate the field: the Mumford-Shah functional and statistical approaches based on Bayesian inference. Whereas the latter allow for...
SIBGRAPI
2008
IEEE
14 years 1 months ago
2008
IEEE
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...