258 citations · 628 across the 13 of their papers we have counts for
4 papers · 2 filters
Kernel-based Generative Learning in Distortion Feature Space
Bo Tang, Paul M. Baggenstoss, Haibo He
This paper presents a novel kernel-based generative classifier which is defined in a distortion subspace using polynomial series expansion, named Kernel-Distortion (KD) classifier.…
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization
Bo Tang, Haibo He
In this paper, we present a new wrapper feature selection approach based on Jensen-Shannon (JS) divergence, termed feature selection with maximum JS-divergence (FSMJ), for text cat…
EEF: Exponentially Embedded Families with Class-Specific Features for Classification
Bo Tang, Steven Kay, Haibo He +1
In this letter, we present a novel exponentially embedded families (EEF) based classification method, in which the probability density function (PDF) on raw data is estimated from…
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Bo Tang, Steven Kay, Haibo He
Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel a…