168 search results - page 23 / 34 » Analysis of DNA Sequence Pattern Using Probabilistic Neural ... |
NN
2007
Springer
13 years 7 months ago
2007
Springer
On the basis of detailed analysis of reaction times and neurophysiological data from tasks involving choice, it has been proposed that the brain implements an optimal statistical ...
NIPS
1997
13 years 9 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
RECOMB
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
IJON
2007
13 years 7 months ago
2007
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
ALMOB
2006
13 years 7 months ago
2006
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...