All modern software development processes try to help project teams conduct their work. While there are some important differences between them, the commonalities are far greater ...
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
Abstract— With XML becoming a standard for data representation and exchange, we can expect to see large scale repositories and warehouses of XML data. In order for users to under...
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....