This talk will deal with the notions of adaptive and non-adaptive information, in the context of statistical learning and inference. Suppose that we have a collection of models (e.g., signals, systems, representations, etc.) denoted by X and a collection of measurement actions (e.g., samples, probes, queries, experiments, etc.) denoted by Y. A p...
Creator:
Nowak, Robert (University of Wisconsin, Madison)
Created:
2012-03-28
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
