We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
TRIPLES is a web-accessible database of TRansposonInsertion Phenotypes, Localization and Expression in Saccharomyces cerevisiae--a relational database housing nearly half a millio...
Anuj Kumar, Kei-Hoi Cheung, Nick P. Tosches, Peter...
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...