In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
The research described here is part of a larger project with the objective of determining if a writer believes a proposition to be true or false. This task requires a deep underst...
The basic objective of this work is to compare the utility of an expert driven system and a data driven system for classifying encrypted network traffic, specifically SSH traffic ...
Various strategies are proposed to identify and classify three types of proper nouns in Chinese texts. Clues from character, sentence and paragraph levels are employed to resolve ...
A partial linear space is a non-empty set of points, provided with a collection of subsets called lines such that any pair of points is contained in at most one line and every lin...