This paper reports on the implementation and realization of software agents as teaching assistants in the distance learning environment. The software agent we built is able to ext...
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Desktop client applications interact with both local and remote resources. This is both a benefit in terms of the rich features desktop clients can provide, but also a security r...
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based features of the associated URLs. W...
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...