āCompromised machines are one of the key security threats on the Internet; they are often used to launch various security attacks such as DDoS, spamming, and identity theft. In t...
Zhenhai Duan, Peng Chen, Fernando Sanchez, Yingfei...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Discovering and unlocking the full potential of complex pervasive environments is still approached in application-centric ways. A set of statically deployed applications often deļ...
Geert Vanderhulst, Daniel Schreiber, Kris Luyten, ...
The amount of scientiļ¬c material available electronically is forever increasing. This makes reading the published literature, whether to stay up-to-date on a topic or to get up ...
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly inļ¬uence user behavio...