Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
This work introduces the A system1 , an Internetbased, free and open source electronic voting system which employs strong cryptography. Our system is a fully functiona...
Electronic voting has become one of the most popular activities over the Internet. Security and privacy are always regarded as crucial factors in electronic voting system design. ...
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
A common technique for result verification in grid computing is to delegate a computation redundantly to different workers and apply majority voting to the returned results. Howe...