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» Generalized Relevance LVQ for Time Series
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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 5 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
ICASSP
2007
IEEE
13 years 8 months ago
Relevance Network Modeling for Muscle Association Pattern in Reaching Movements
Our purpose is to study how different muscles collaborate together to efficiently create a smooth, coordinated reaching movement. In the EMG literature, it has been commonplace to...
Z. Jane Wang, Martin J. McKeown
ICSE
2008
IEEE-ACM
14 years 5 months ago
Are fit tables really talking?: a series of experiments to understand whether fit tables are useful during evolution tasks
Test-driven software development tackles the problem of operationally defining the features to be implemented by means of test cases. This approach was recently ported to the earl...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
13 years 11 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
13 years 11 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski