We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods. In our analysis the co-training process ...
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Software has spent the bounty of Moore’s law by solving harder problems and exploiting abstractions, such as highlevel languages, virtual machine technology, binary rewritdynami...
Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, ...