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» Probabilistic Neural Network Models for Sequential Data
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IJCNN
2006
IEEE
14 years 2 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
ICTAI
2008
IEEE
14 years 2 months ago
Neural Network Language Models for Translation with Limited Data
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Maxim Khalilov, José A. R. Fonollosa, Franc...
CIDM
2007
IEEE
14 years 2 months ago
Application of Neural Networks for Data Modeling of Power Systems with Time Varying Nonlinear Loads
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
IDA
2003
Springer
14 years 1 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton
IJCNN
2006
IEEE
14 years 2 months ago
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex
— Neuronal activities related to context-dependent recall have been found in the monkey inferotemporal cortex. If we set the same task for an artificial neural network, however,...
Atsuo Suemitsu, Masahiko Morita