Open AccessMachine Learning, Machine Vision, and the Brain
Author(s) -
Poggio Tomaso,
Shelton Christian R.
Publication year - 1999
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v20i3.1465
Subject(s) - complement (music) , computer science , artificial intelligence , cognitive science , core (optical fiber) , human–computer interaction , psychology , telecommunications , biochemistry , chemistry , complementation , gene , phenotype
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.