Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
This paper studies inductive definitions involving binders, in which aliasing between free and bound names is permitted. Such aliasing occurs in informal specifications of operatio...
We study the problem of offering publish/subscribe functionality on top of structured overlay networks using data models and languages from IR. We show how to achieve this by ext...
Abstract. In domains such as music and visual art, where the quality of an individual often depends on subjective or hard to express concepts, the automating fitness assignment bec...
Bill Z. Manaris, Penousal Machado, Clayton McCaule...
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...