Titlebook: Learning with Nested Generalized Exemplars; Steven L. Salzberg Book 1990 Kluwer Academic Publishers 1990 algorithms.artificial intelligenc

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水土

慢慢啃

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Experimental results with NGE,roblems: (1) predicting the recurrence of breast cancer, (2) classifying iris flowers, (3) predicting survival for heart attack victims, and (4) predicting the dependent variable in a discrete event simulation. The simulation problem was based on a very simplified stock market model. In the process

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Conclusion,verse set of domains. The . 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

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Learning with Nested Generalized Exemplars978-1-4613-1549-0Series ISSN 0893-3405

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Conclusion,verse set of domains. The . 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.