In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with cer...
Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtch...
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
The growing reliance on services provided by software applications places a high premium on the reliable and efficient operation of these applications. A number of these applicat...
Swapna S. Gokhale, Aniruddha S. Gokhale, Jeffrey G...