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Abstract: The author proposes a new method for flexible regression modeling of multi-dimensional data, where the regression function is approximated by a linear combination of logistic basis functions. The method is adaptive, selecting simple or more complex models as appropriate. The number, location, and (to some extent) shape of the basis functions are automatically determined from the data. The method is also affine invariant, so accuracy of the fit is not affected by rotation or scaling of the... (Update)
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BibTeX entry: (Update)
@misc{ hooper-flexible,
author = "Peter M. Hooper",
title = "Flexible Regression Modeling With Adaptive Logistic Basis Functions",
url = "citeseer.ist.psu.edu/article/hooper01flexible.html" }
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