In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
In this paper we consider a general class of single-server multiqueue systems in which the stability of any single queue can be essentially determined by the queue’s arrival rat...
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
We present a technique to prove termination of multipath polynomial programs, an expressive class of loops that enables practical traction and analysis. The technique is based on ï...