Training-set-based performance measures for data-adaptive decisioning systems

Robert Y. Levine; Timothy S. Khuon

doi:10.1117/12.130857

16 December 1992 Training-set-based performance measures for data-adaptive decisioning systems

Robert Y. Levine, Timothy S. Khuon

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130857
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

Performance measures are derived for data-adaptive hypothesis testing by systems trained on stochastic data. The measures consist of the averaged performance of the system over the ensemble of training sets. The training set-based measures are contrasted with maximum aposteriori probability (MAP) test measures. It is shown that the training set-based and MAP test probabilities are equal if the training set is proportioned according to the prior probabilities of the hypotheses. Applications of training set-based measures are suggested for neural net and training set design.

Citation Download Citation

Robert Y. Levine and Timothy S. Khuon "Training-set-based performance measures for data-adaptive decisioning systems", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130857

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