14 citations · 21 across the 8 of their papers we have counts for
Showing 2015 · cs.LGShow all
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cs.LG2015★ 7 cited
Active Perceptual Similarity Modeling with Auxiliary Information
Eric Heim, Matthew Berger, Lee Seversky +1
Learning a model of perceptual similarity from a collection of objects is a fundamental task in machine learning underlying numerous applications. A common way to learn such a mode…
cs.LG2015
Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels
Eric Heim, Milos Hauskrecht
In this work, we focus on the problem of learning a classification model that performs inference on patient Electronic Health Records (EHRs). Often, a large amount of costly expert…
cs.LG2015
Efficient Online Relative Comparison Kernel Learning
Eric Heim, Matthew Berger, Lee M. Seversky +1
Learning a kernel matrix from relative comparison human feedback is an important problem with applications in collaborative filtering, object retrieval, and search. For learning a…