Machine Learning, Machine Vision, and the Brain

The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our work over the last ten years in the area of supervised learning, focusing on three interlinked directions of research: theory, engineering applications (making intelligent software) and neuroscience (understanding the brain's mechanisms of learning) which contribute to and complement each other.

• Type: Journal
• Year: 1999
• Where: AIM
• Authors: Tomaso Poggio, Christian R. Shelton
• Keywords: AIM 1999, Intelligent Software, Software Engineering, Supervised Learning, The Problem