25-10-2012, 11:48 AM
Recent Advances in Predictive (Machine) Learning
ABSTRACT
Prediction involves estimating the unknown value of an attribute of a system under study given the values of other
measured attributes. In prediction (machine) learning the prediction rule is derived from data consisting of previously solved
cases. Most methods for predictive learning were originated many years ago at the dawn of the computer age. Recently two
new techniques have emerged that have revitalized the field. These are support vector machines and boosted decision trees.
This paper provides an introduction to these two new methods tracing their respective ancestral roots to standard kernel
methods and ordinary decision trees.