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79
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IJCNN
2000
IEEE
15 years 2 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio
106
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CEC
2003
IEEE
15 years 3 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
81
Voted
BIB
2007
137views more  BIB 2007»
14 years 10 months ago
Current progress in network research: toward reference networks for key model organisms
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
96
Voted
ICB
2007
Springer
124views Biometrics» more  ICB 2007»
15 years 4 months ago
Face Authentication with Salient Local Features and Static Bayesian Network
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and ...
Guillaume Heusch, Sébastien Marcel
79
Voted
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 3 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
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...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...