152 search results - page 30 / 31 » Training neural networks with noisy data as an ill-posed pro... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
APIN
2002
13 years 7 months ago
2002
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
ICANN
2005
Springer
14 years 28 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...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...