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An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale… Expand Many papers have regressed non-parametric estimates of productive efficiency on environmental variables in two-stage procedures… Expand In this letter, we give the conditions for identifiability, separability and uniqueness of linear real valued independent… Expand The area under the ROC curve, or the equivalent Gini index, is a widely used measure of performance of supervised classification… Expand The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic… Expand L anguage has been granted too much power. The linguistic turn, the semiotic turn, the interpretative turn, the cultural turn: it… Expand We take a new look at the issue of network capacity. It is shown that network coding is an essential ingredient in achieving the… Expand Monte Carlo methods are revolutionizing the on-line analysis of data in fields as diverse as financial modeling, target tracking… Expand This paper explores a monetary-policy model with habit formation for consumers, in which consumers' utility depends in part on… Expand Linear-time for Linear Programming in R2 and R3 are presented. The methods used are applicable for some other problems. For… Expand