We present a shallow linguistic approach to subjectivity classification. Using multinomial kernel machines, we demonstrate that a data representation based on counting character n...
Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
This paper is part of a larger study of remote print defect diagnosis. The goals of the integrated print defect diagnosis system are to reduce diagnosis time, streamline communica...
Shijun Qiu, Alice M. Agogino, Shuang Song, Jialong...
The naive Bayes model makes the often unrealistic assumption that the feature variables are mutually independent given the class variable. We interpret a violation of this assumpt...
Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verne...
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...