We explore the SNR-optimal relay functionality in a memoryless relay network, i.e. a network where, during each channel use, the signal transmitted by a relay depends only on the ...
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
We present a software tool for creating an optimal classhierarchy from the use-relationship among data-items and functions based on the method in Kundu and Gwee [3]. The tool dete...
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...