This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
This paper presents an approach to develop bidding agents that participate in multiple alternative auctions, with the goal of obtaining an item at the lowest price. The approach c...
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
This paper describes a technique called producer-push that enhances the performance of a page-based software distributed shared memory system. Shared data, in software DSM systems...
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...