Efficient computation of locally monotonic regression
No. 8 (1997-01-01)Author(s)
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Alfredo Restrepo Palacios1Ramiro de la Vega Alfredo Restrepo Palacios R. de la Vega and A. Restrepo are with the Departamento de Ingeniería Eléctrica, Universidad de los Andes, A.A. 4976, Bogotá, Colombia.
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Ramiro de la Vega1Ramiro de la Vega Alfredo Restrepo Palacios R. de la Vega and A. Restrepo are with the Departamento de Ingeniería Eléctrica, Universidad de los Andes, A.A. 4976, Bogotá, Colombia.
Abstract
So far, the applicability of locally monotonic regression has been limited by the high computational costs of the available algorithms that compute them. We present a powerful theoretical result about the nature of these regressions. As an application, we give an algorithm for the computation of lomo-3 regressions which reduces the complexity of the task, from exponential to polynomial.