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A METHOD OF LEARNING ROBUST REGRESSION MODELS FROM LIMITED TRAINING DATA
A METHOD OF LEARNING ROBUST REGRESSION MODELS FROM LIMITED TRAINING DATA
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机译：一种从有限训练数据中学习鲁棒回归模型的方法
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摘要
According to some embodiments, system and methods are provided, comprising building a first model structure for a reference domain; generating a first learned model for the first model structure using one or more data points associated with the reference domain; executing the first learned model with one or more data points in a target domain to predict a dependent variable associated with the target domain; calculating a residual variable for the predicted dependent variable associated with the target domain; building a second model structure for the target domain using the residual variable as a dependent variable; generating a second learned model for the second model structure using one or more data points associated with the target domain; and constructing a target model for the target domain, wherein the target model is the sum of the first and the second learned models. Numerous other aspects are provided.
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