Due to high levels of integration and complexity, the design of multi-core SoCs has become increasingly challenging. In particular, energy consumption and distributing a single gl...
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...