Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
This paper pertains to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2nd -order statistics on the wavelet domain, betwee...
Dimitrios K. Iakovidis, Dimitrios E. Maroulis, S. ...
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...