We propose two methods to passively measure and monitor changes in round-trip times (RTTs) throughout the lifetime of a TCP connection. Our first method associates data segments w...
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Abstract. The massive amount of textual data on the Web raises numerous classification problems. Although the notion of domain is widely acknowledged in the IR field, the applica...
We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past perfo...
GRM and PROVE were originally designed and implemented as part of the P-GRADE graphical parallel program development environment running on clusters. In the framework of the bigges...