901 search results - page 26 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
149
click to vote
CLEIEJ
2007
15 years 5 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...
149
click to vote
EMNLP
2007
15 years 6 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...
172
Voted
ICASSP
2011
IEEE
14 years 8 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...
135
Voted
IDA
2003
Springer
15 years 10 months 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...
155
Voted
IADIS
2004
15 years 6 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...