剧情简介：Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution changes. Dataset shift is present in most practical applications, for reasons ranging from the bias introduced by experimental...(展开全部)
作者：Quinonero-candela, Joaquin / Sugiyama, Masashi / Schwaighofer, Anton / Lawrence, Neil D.
出版社：The MIT Press
ISBN：9780262170055
