The problem of security against timing based traffic analysis in multihop networks is considered in this work. In particular, the relationship between the level of anonymity prov...
Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
The proliferation of retail outlets with nearly identical product offerings and similar costs due to market efficiency means that selecting an appropriate market to open a store i...
Baabak Ashuri, William B. Rouse, Douglas A. Bodner
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...