We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Abstract--Applications involving the dissemination of information directly relevant to humans (e.g., service advertising, news spreading, environmental alerts) often rely on publis...
Paolo Costa, Cecilia Mascolo, Mirco Musolesi, Gian...
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
Relative location information helps build vehicle topology maps. Such maps provide location information of nearby vehicles to drivers. In building a vehicle topology, one must cons...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...