889 search results - page 7 / 178 » Probabilistic Neural Network Models for Sequential Data |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genet...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
EUSFLAT
2003
13 years 9 months ago
2003
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...