56 search results - page 1 / 12 » Structural identifiability of generalized constraint neural ... |
IJON
2008
13 years 4 months ago
2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
ESWA
2008
13 years 4 months ago
2008
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
TNN
2010
12 years 11 months ago
2010
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
CSB
2002
IEEE
13 years 9 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...