In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
We propose an intra prediction solution to block-based image compression. In order to adapt to local image features during intra prediction, we consider the distinct image singular...
We study a spectrum sharing problem in an unlicensed band where multiple systems coexist and interfere with each other. Due to asymmetries and selfish system behavior, unfair and...
This paper demonstrates how an Instruction Path Coprocessor (I-COP) can be efficiently implemented using the PipeRench reconfigurable architecture. An I-COP is a programmable on-c...
Yuan C. Chou, Pazhani Pillai, Herman Schmit, John ...
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...