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» Probabilistic Neural Network Models for Sequential Data
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ESANN
2008
13 years 9 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
TSP
2008
132views more  TSP 2008»
13 years 8 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 7 months ago
Neuromodulation of decision and response selection
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Marius Usher, Eddy J. Davelaar
CIBB
2008
13 years 10 months ago
Splice Site Prediction Using Artificial Neural Networks
A system for utilizing an artificial neural network to predict splice sites in genes has been studied. The neural network uses a sliding window of nucleotides over a gene and predi...
Øystein Johansen, Tom Ryen, Trygve Eftest&o...
ICT
2004
Springer
194views Communications» more  ICT 2004»
14 years 1 months ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...