889 search results - page 54 / 178 » Probabilistic Neural Network Models for Sequential Data |
NN
2006
Springer
13 years 8 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
ICANN
1997
Springer
14 years 10 days ago
1997
Springer
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
IEAAIE
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
TR
2010
13 years 2 months ago
2010
Abstract--The development of accurate health condition prediction approaches has been a key research topic in condition based maintenance (CBM) in recent years. However, current he...
IJAR
2006
13 years 8 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...