This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
A student learning how to program learns best when the programming language and programming environment cater to her specific needs. These needs are different from the requirement...
Iterative design is usually considered in the context of prototyping, evaluating, and improving a single product. We had the interesting opportunity to work on three distinct prod...
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...