Conclusion

Abstract

The experiments presented in this book demonstrate that an exemplar-based learning model that constructs hyperrectangles can learn effectively in a diverse set of domains. The Each system displayed robustness in the face of both noise and incomplete data. Comparisons with experts’ performance, where such comparisons were possible, were quite favorable, and in one domain — breast cancer prediction — the program performed significantly better than the experts.