An executable taxonomy of on-line modeling algorithms

Abstract

This paper gives an overview of our decomposition of a group of existing and novel on-line modeling algorithms into component parts, which can be implemented as a cross product of predominantly independent sets. The result is all of the following: a test bed for executing controlled experiments with algorithm components, a frame work that unifies existing techniques and defines novel techniques, and a taxonomy for describing on-line modeling algorithms precisely and completely in a way that enables meaningful comparison.