An Impossibility Result for High Dimensional Supervised Learning

no code implementations • 29 Jan 2013 • Mohammad Hossein Rohban, Prakash Ishwar, Birant Orten, William C. Karl, Venkatesh Saligrama

We study high-dimensional asymptotic performance limits of binary supervised classification problems where the class conditional densities are Gaussian with unknown means and covariances and the number of signal dimensions scales faster than the number of labeled training samples.

General Classification Vocal Bursts Intensity Prediction