Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
Large-scale systems for information extraction include many different classifiers and extractors. Experience in building such systems shows that finding an appropriate architect...