We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Much work has been done on characterizing the workload of a database system. Previous studies focused on providing different types of statistical summaries, and modeling the run-ti...
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Abstract. A framework for the autonomous management of clustered server systems called LAMA1 (Large-scale system’s Autonomous Management Agent) is proposed in this paper. LAMA is...
Chul Lee, Seung Ho Lim, Sang Seok Lim, Kyu Ho Park
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...