—In this paper, we consider the problem of designing scheduling algorithm for input queued switch that is both fair as well as throughput optimal. The significant body of litera...
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Abstract— Consider the problem of base-station and subcarrier assignment on the downlink of a two-cell OFDMA system with adaptive modulation. The aim is to maximize a common data...
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...