243 search results - page 39 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
CGF
2005
13 years 7 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
NIPS
2007
13 years 9 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
BIOSYSTEMS
2007
13 years 7 months ago
2007
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...