Learning in brains and machines (2000)
by Tomaso Poggio and Christian R. Shelton
Abstract:
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we sketch some of our work over the last ten years in the area of supervised learning, focusing on three interlinked directions of research: theory, engineering applications (that is, making intelligent software) and neuroscience (that is, understanding the brain's mechanisms of learning).
Download Information
Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296.
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Bibtex citation
@article{PogShe00,
author = "Tomaso Poggio and Christian R. Shelton",
title = "Learning in brains and machines",
journal = "Spatial Vision",
journalabbr = "Spatial Vision",
month = Nov,
year = 2000,
volume = 13,
number = "2,3",
pages = "287--296",
}