889 search results - page 34 / 178 » Probabilistic Neural Network Models for Sequential Data |
TNN
1998
13 years 7 months ago
1998
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
BMCBI
2006
13 years 8 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...