Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
The paper presents a new technique for designing a concurrently checking combinational circuit. The technique is based on partitioning the circuit into two independent sub-circuit...
Osnat Keren, Ilya Levin, Vladimir Ostrovsky, Beni ...
—The benefits of service composition are being largely acknowledged in the literature nowadays. However, as the amount of available services increases, it becomes difficult to ...
Abstract—Change prediction helps developers by recommending program entities that will have to be changed alongside the entities currently being changed. To evaluate their accura...