Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
One of the oldest problems in the study of dynamical systems is the calculation of an optimal control. Though the determination of a numerical solution for the general nonconvex o...
Abstract—Antenna problem is a phenomenon of plasma-induced gateoxide degradation. It directly affects manufacturability of very large scale integration (VLSI) circuits, especiall...
Li-Da Huang, Xiaoping Tang, Hua Xiang, D. F. Wong,...