Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Organizations owning cyber-infrastructure assets face large scale distributed attacks on a regular basis. In the face of increasing complexity and frequency of such attacks, we ar...
Himanshu Khurana, Jim Basney, Mehedi Bakht, D. Mic...
We develop a generic method for the review matching problem, which is to match unstructured text reviews to a list of objects, where each object has a set of attributes. To this e...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
In this paper, we present several enhanced network techniques which are appropriate for VLSI implementation and have reduced complexity, high throughput, and simple routing algori...