Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
Existing work on the capacity of wireless networks predominantly considers homogeneous random networks with random work load. The most relevant bounds on the network capacity, e.g...
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
This paper addresses the diagnosability problem of distributed discrete event systems. Until now, the problem of diagnosability has always been solved by considering centralised ap...
A domain model describes common and variant requirements for a system family. UML notations used in requirements analysis and software modeling can be extended with “variation p...