559 search results - page 10 / 112 » Neural methods for non-standard data |
IJPRAI
1998
14 years 9 months ago
1998
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
APIN
2004
14 years 9 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
BMCBI
2006
14 years 9 months ago
2006
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
81
Voted
ESANN
2003
14 years 11 months ago
2003
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
77
Voted
NN
2000
Springer
14 years 9 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...