Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gestureplications. GART provides an abstraction to machine lear...
Kent Lyons, Helene Brashear, Tracy L. Westeyn, Jun...
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...
Background: While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step tow...