889 search results - page 106 / 178 » Probabilistic Neural Network Models for Sequential Data |
BIOCOMP
2008
13 years 9 months ago
2008
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
AI
2002
Springer
13 years 8 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
BMCBI
2011
12 years 11 months ago
2011
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...