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ESWA
2010
118views more  ESWA 2010»
13 years 7 months ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
CCGRID
2008
IEEE
13 years 11 months ago
Performance Optimization for Multi-agent Based Simulation in Grid Environments
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications a...
Dawit Mengistu, Peter Tröger
NPL
1998
175views more  NPL 1998»
13 years 8 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
ICASSP
2009
IEEE
14 years 3 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
BMCBI
2008
123views more  BMCBI 2008»
13 years 9 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...