3004 search results - page 1 / 601 » Nonlinear Mapping Networks |
NECO
2002
13 years 6 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
PAA
2000
13 years 6 months ago
2000
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
JCISD
2000
13 years 6 months ago
2000
BMCBI
2005
13 years 6 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
CEC
2005
IEEE
13 years 8 months ago
2005
IEEE
Abstract— Nonlinear mapping is an approach of multidimensional scaling where a high-dimensional space is transformed into a lower-dimensional space such that the topological char...