Learning from examples: from theory to practice
Donald R. Hush, James C. Scovel, Kelly, P. M. (Patrick M.), James W. Howse, Mary Fugate, Cannon, A. (Adam) · University of North Texas Digital Library (University of North Texas) · 2001
This tutorial provides an overview of the problem of learning from examples. Emphasis is placed on fundamental limitations in three areas: approximation, estimation and computation. Each of these is compared and contrasted in situations where the problem is one of regression verses pattern classification, parametric versus nonparametric, and linear versus nonlinear. General methods for improving generalization and computation speed are discussed, and practical examples are used to illustrate these methods.