Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
This paper presents an automated system for optimizing earthmoving operations. The proposed system can assist earthmoving contractors, during bid preparation stage, in estimating ...
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique which can select the best of k simulated designs. T...
A strategy for working with incomplete information is called competitive if it solves each problem instance at a cost not exceeding the cost of an optimal solution (with full info...