Dataset Shift in Machine Learning

Author(s): Masashi Sugiyama

Date: Format: PDF Language: English ISBN/ASIN: 0262170051
Pages: OCR: Quality: ISBN13:
Uploader: Upload Date: 1/30/2019 9:21:42 AM
                               

Description:
An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions. 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.
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