IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. Thi...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
—In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algor...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
—Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling fields theory (NMF) addresses these challenges in a n...