25 search results - page 5 / 5 » Learning Deep Neural Networks for High Dimensional Output Pr... |
ESANN
2007
13 years 9 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
GI
1998
Springer
13 years 11 months ago
1998
Springer
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
ICANN
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
ICMLA
2008
13 years 9 months ago
2008
We propose a novel approach for on-line treatment verification using cine EPID (Electronic Portal Imaging Device) images for hypofractionated lung radiotherapy based on a machine ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...