UCR

Computer Science and Engineering



Christian R. Shelton, Professor

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).

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Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296. pdf          

Bibtex citation

@article{PogShe00,
   author = "Tomaso Poggio and Christian R. Shelton",
   title = "Learning in brains and machines",
   journal = "Spatial Vision",
   month = Nov,
   year = 2000,
   volume = 13,
   number = "2,3",
   pages = "287--296",
}

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E-mail: cshelton@cs.ucr.edu

 


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