In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
The capacity region of a broadcast channel consisting of k-receivers that lie in a less noisy sequence is an open problem, when k 3. We prove that superposition coding is indeed ...
We describe a linear channel inference system for the TyCO programming language, where channel usage is tracked through method invocations as well as procedure calls. We then appl...
Computer algebra in scientific computation squarely faces the dilemma of natural mathematical expression versus efficiency. While higher-order programming constructs and parametri...