Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation
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DOI: 10.1162/neco_a_01310
Abstract: In this letter, we study an active learning problem for maximizing an unknown linear function with high-dimensional binary features. This problem is notoriously complex but arises in many important contexts. When the sampling budget, that… read more here.
Keywords: binary features; active learning; dimensional binary; high dimensional ... See more keywords