Due to the fast delivery of news articles by news providers on the Internet and/or via news datafeeds, it becomes an important research issue of predicting the risk of stocks by u...
Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping K...
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Background: Methods are now available for the prediction of interaction sites in protein 3D structures. While many of these methods report high success rates for site prediction, ...
Ying Wei, Jaeju Ko, Leonel F. Murga, Mary Jo Ondre...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Thread-Level Speculation (TLS) allows us to automatically parallelize general-purpose programs by supporting parallel execution of threads that might not actually be independent. ...
J. Gregory Steffan, Christopher B. Colohan, Antoni...