We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
In this paper, we present an approach for measuring certain properties of synthetic optimization problems based on the assumed distribution of coefficient values. We show how to e...
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
This paper presents a computing technique for efficient parallel simulation of large-scale discrete-event models on the IBM Cell Broadband Engine (CBE), which has one Power Proces...
Qi Liu, Gabriel A. Wainer, Ligang Lu, Michael Perr...
In this paper we demonstrate that there is a strong correlation between the Question Answering (QA) accuracy and the log-likelihood of the answer typing component of our statistic...
Matthias H. Heie, Edward W. D. Whittaker, Sadaoki ...