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» Probabilistic Neural Network Models for Sequential Data
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IJCSA
2007
100views more  IJCSA 2007»
15 years 2 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
151
Voted
IDA
2006
Springer
15 years 2 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
95
Voted
ICONIP
2004
15 years 4 months ago
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
This paper introduces a novel RBF model
Qun Song, Nikola K. Kasabov
139
Voted
CEC
2003
IEEE
15 years 8 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
124
Voted
UM
2005
Springer
15 years 8 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren