Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
Background: In structural genomics, an important goal is the detection and classification of protein–protein interactions, given the structures of the interacting partners. We h...
Guillaume Launay, Raul Mendez, Shoshana J. Wodak, ...
In the setting of concurrent self composition, a single protocol is executed many times concurrently by a single set of parties. In this paper, we prove lower bounds and impossibi...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Differentiated Services (DiffServ) is a promising architecture for the next generation Internet due to its scalable and flexible design. In DiffServ, scheduling disciplines play an...