no code implementations • 20 Nov 2015 • Hristo S. Paskov, John C. Mitchell, Trevor J. Hastie
We also discuss how to derive features from the compressed documents and show that while certain unregularized linear models are invariant to the structure of the compressed dictionary, this structure may be used to regularize learning.
no code implementations • NeurIPS 2013 • Hristo S. Paskov, Robert West, John C. Mitchell, Trevor Hastie
This paper addresses the problem of unsupervised feature learning for text data.