The Dataset Shift in Machine Learning

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The Dataset Shift in Machine Learning

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 design to the irreproducibility of the testing conditions at training time.

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关键词：Learning dataset earning machine shift particular practical training testing between

monopymonopy 发表于 2014-8-23 17:21
The Dataset Shift in Machine Learning

介绍一下最好。

songlinjl 发表于 2014-8-23 21:19
介绍一下最好。

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