A fundamental problem in wireless networks is to develop communication protocols that achieve high throughput in the face of noise, interference, and fading, all of which vary wit...
Jonathan Perry, Peter Iannucci, Kermin Fleming, Ha...
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
The University of Missouri–Columbia’s Information and Access Technology (IAT) Services division’s InfoTech Training department measures IT training using the return on inves...
Authentication systems based on biometric features (e.g., fingerprint impressions, iris scans, human face images, etc.) are increasingly gaining widespread use and popularity. Ofte...