Machine Learning, Machine Vision, and the Brain

Tomaso Poggio, 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 article, we review our work over the last 10 years in the area of supervised learning, focusing on three interlinked directions of research -- (1) theory, (2) engineering applications (making intelligent software), and (3) neuroscience (understanding the brain's mechanisms of learnings) -- that contribute to and complement each other.

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DOI: http://dx.doi.org/10.1609/aimag.v20i3.1465

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