Using Artificial Intelligence for Model Selection
<|reference_start|>Using Artificial Intelligence for Model Selection: 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.<|reference_end|>
@article{goldstein2003using,
    title={Using Artificial Intelligence for Model Selection},
    author={Darin Goldstein, William Murray, and Binh Yang},
    journal={arXiv preprint arXiv:cs/0310005},
    year={2003},
    archivePrefix={arXiv},
    eprint={cs/0310005},
    primaryClass={cs.AI q-bio.QM}
}