Now showing items 1-2 of 2
Adaptive learning in lasso models
(Georgia Institute of Technology, 2015-08-20)
Regression with L1-regularization, Lasso, is a popular algorithm for recovering the sparsity pattern (also known as model selection) in linear models from observations contaminated by noise. We examine a scenario where a ...
New insights on the power of active learning
(Georgia Institute of Technology, 2015-07-22)
Traditional supervised machine learning algorithms are expected to have access to a large corpus of labeled examples, but the massive amount of data available in the modern world has made unlabeled data much easier to ...