In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
With the increasing wealth of digital information stored on computer systems today, security issues have become increasingly important. In addition to attacks targeting the softwar...
In this paper, a new compression method for constant removal from very large scientific and statistical databases is presented. The new method combines the best features from seve...
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...