Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
We study an adaptive variant of oblivious transfer in which a sender has N messages, of which a receiver can adaptively choose to receive k one-after-the-other, in such a way that ...
I/O is a major performance bottleneck in modern computer systems. Modern disks use the Zone-Bit-Recording (ZBR) technology to increase the capacity. A direct consequence of ZBR is...
Most quality and software process improvement frameworks emphasize written (i.e. formal) documentation to convey recommended work practices. However, there is considerable skeptic...