— In this paper we present a scheme for reducing the amount of synchronization overhead needed between components, after HW/SW partitioning, to preserve the original control flo...
This study develops a joint optimal inventory strategy for both the buyer and the vendor when the expired stocks have salvage value, and are subject to constant rate of deteriorat...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
Monte Carlo simulation can be readily applied to asset pricing problems with multiple state variables and possible path dependencies because convergence of Monte Carlo methods is ...