3004 search results - page 1 / 601 » Nonlinear Mapping Networks |
73
Voted
NECO
2002
14 years 10 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...
77
Voted
PAA
2000
14 years 10 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...
49
Voted
JCISD
2000
14 years 10 months ago
2000
80
Voted
BMCBI
2005
14 years 10 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
15 years 27 days 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...