Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent bene ts for retrieval performance, and it is di...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
We introduce a novel multi-resource allocator to dynamically allocate resources for database servers running on virtual storage. Multi-resource allocation involves proportioning t...
Gokul Soundararajan, Daniel Lupei, Saeed Ghanbari,...
Abstract. We consider generic Garbled Circuit (GC)-based techniques for Secure Function Evaluation (SFE) in the semi-honest model. We describe efficient GC constructions for additi...
Vladimir Kolesnikov, Ahmad-Reza Sadeghi, Thomas Sc...
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...