889 search results - page 140 / 178 » Probabilistic Neural Network Models for Sequential Data |
NIPS
1998
13 years 9 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
CLEIEJ
2007
13 years 8 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...
ICIC
2007
Springer
14 years 2 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
CW
2002
IEEE
14 years 27 days ago
2002
IEEE
Multimedia presentation systems require flexible support for the modeling of multimedia content models. Many presentation systems provide the synchronized, sequential or concurren...
RECOMB
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...