Abstract Questionnaires are nowadays widely used usability evaluation instruments, and several generic usability questionnaires are available. But these generic artifacts are not a...
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Abstract- We investigate cooperative wireless relay networks in which the nodes can help each other in data transmission. We study different coding strategies in the single-source ...
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...