Improving Shared Rules in Multiple Category Domain Theories (1991)
This paper presents an approach to improving the classification performance of a multiple category theory by correcting intermediate rules which are shared among the categories. Using this technique, the performance of a theory in one category can be improved through training in an entirely different category. Examples of the technique are presented and experimental results are given.
In Proceedings of the Eighth International Workshop on Machine Learning, pp. 534-538, Evanston, IL, June 1991.

Raymond J. Mooney Faculty mooney [at] cs utexas edu
Dirk Ourston Ph.D. Alumni ourston [at] arlut utexas edu