Using Artificial Intelligence for Model Selection

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We apply the optimization algorithm Adaptive Simulated Annealing (ASA) to the problem of analyzing data on a large population and selecting the best model to predict that an individual with various traits will have a particular disease. We compare ASA with traditional forward and backward regression on computer simulated data. We find that the traditional methods of modeling are better for smaller data sets whereas a numerically stable ASA seems to perform better on larger and more complicated data sets.
10 pages, no figures, in Proceedings, Hawaii International Conference on Statistics and Related Fields, June 5-8, 2003

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Artificial Intelligence, Quantitative Methods, H.2.8; J.3

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http://salesiana.dossiersoluciones.com/handle/123456789/31812

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0310005
 http://arxiv.org/abs/cs/0310005

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arXiv