Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
This paper reports on results concerning the combination of non-standard semantics via interpreters. We define what a semantics combination means and identify under which condition...
We offer a computational analysis of the resolution of ellipsis in certain cases of dialogue clarification. We show that this goes beyond standard techniques used in anaphora and ...
This paper studies shapes (curves and surfaces) which can be described by (piecewise) polynomial support functions. The class of these shapes is closed under convolutions, offsett...
We present a technique for deriving predictions for the run times of parallel applications from the run times of "similar" applications that have executed in the past. T...