In this paper we describe new metrics for the evaluation of collision detection techniques. Through careful study of common applications of these techniques we have developed a se...
This paper presents a quantitative evaluation of the portability to the stock market domain of the revision rule hierarchy used by the system STREAKto incrementally generate newsw...
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Real-time Decision algorithms are a class of incremental resource-bounded [Horvitz, 89] or anytime [Dean, 93] algorithms for evaluating influence diagrams. We present a test domai...
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...