Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...
This paper describes the work achieved in the rst half of a 4-year cooperative research project ARCADE, nanced by AUPELF-UREF. The project is devoted to the evaluation of parallel...
We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be e...
Anthony J. Macula, Alexander Schliep, Morgan A. Bi...
ACL2 was used to prove properties of two simplification procedures. The procedures differ in complexity but solve the same programming problem that arises in the context of a reso...