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IJCNN
2008
IEEE
15 years 10 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
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IJCNN
2008
IEEE
15 years 10 months ago
Comparative study on normalization procedures for cluster analysis of gene expression datasets
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
Marcílio Carlos Pereira de Souto, Daniel S....
IJCNN
2008
IEEE
15 years 10 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
IJCNN
2008
IEEE
15 years 10 months ago
Spatiotemporal feature extraction based on invariance representation
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
Wenlu Yang, Liqing Zhang
IJCNN
2008
IEEE
15 years 10 months ago
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
— In this work we show that a metaheuristic, the Variable Neighborhood Search (VNS), can be effectively used in order to improve the performance of the hardware–friendly versio...
Enrique Alba, Davide Anguita, Alessandro Ghio, San...