Active Learning Methods based on Statistical Leverage Scores

no code implementations • 6 Dec 2018 • Cem Orhan, Oznur Tastan

Additionally, DBALEVS selects a diverse a set of examples that are highly representative but are dissimilar to already labeled examples through maximizing a submodular set function defined with the statistical leverage scores and the kernel matrix computed on the pool of the examples.

Active Learning

ALEVS: Active Learning by Statistical Leverage Sampling

no code implementations • 15 Jul 2015 • Cem Orhan, Öznur Taştan

Many active learning methods have been developed in the past two decades, which sample queries based on informativeness or representativeness of unlabeled data points.

Active Learning Binary Classification +1