Just‐in‐Time Modeling for Function Prediction and Its Applications
Qiubao Zheng, Hidenori Kimura · Asian Journal of Control · 2001
ABSTRACT This paper introduces a variant of k Bipartite Neighbors (k‐BN), called k‐BN2, for use in function prediction. Like k‐BN, k‐BN2 selects k instances surrounding the query, i.e., the novel instance, and keeps them bipartitely. However, in order to improve the prediction precision, based on the bipartite neighborhood, k‐BN2 combines local linear models and the global nonlinear model to predict the value of the novel instance. Applied to two real measured datasets, k‐BN2 outperforms the typical k‐BN andthose methods in which k‐BN or a related approximate physical model alone is exploited.