901 search results - page 26 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
CLEIEJ
2007
13 years 7 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
EMNLP
2007
13 years 8 months ago
2007
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
IDA
2003
Springer
14 years 18 days ago
2003
Springer
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
IADIS
2004
13 years 8 months ago
2004
With rapid development of the Internet, e-learning system has become more and more popular. Currently, to solve the issue of sharing and reusing of teaching materials in different...