269 search results - page 6 / 54 » A Minimax Method for Learning Functional Networks |
103
Voted
ISNN
2007
Springer
15 years 6 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
100
Voted
FOCI
2007
IEEE
15 years 6 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
138
Voted
CSB
2005
IEEE
15 years 6 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
117
Voted
TFS
2008
14 years 11 months ago
2008
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
166
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...