no code implementations • 5 Jan 2014 • Justin Ziniel, Philip Schniter, Per Sederberg
For the problem of binary linear classification and feature selection, we propose algorithmic approaches to classifier design based on the generalized approximate message passing (GAMP) algorithm, recently proposed in the context of compressive sensing.
no code implementations • NeurIPS 2009 • Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte, David M. Blei
We develop a probabilistic model of human memory performance in free recall experiments.