This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
Skin effect makes interconnect resistance and inductance frequency dependent. This paper addresses the problem of efficiently estimating the signal characteristics of any RLC netw...
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
Abstract— We consider the linear minimum meansquared error (LMMSE) estimation of a random vector of interest from its fusion frame measurements in presence noise and subspace era...
Ali Pezeshki, Gitta Kutyniok, A. Robert Calderbank
— Precoding is a well-known method to reach the promised performance and capacity of multiple-input multipleoutput (MIMO) systems. Recent investigations, when the transmitter has...