Construct · 1 fields · 1 citations

covariate shift: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
covariateshift1 CONSTRUCTCovariate shiftSHIMODAIRA · MACHINE LEARNING

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Machine learning

the distribution of inputs differs between training and use while the conditional relation of output given input stays the same, correctable by importance weighting.

In machine learning, covariate shift refers to the distribution of inputs differs between training and use while the conditional relation of output given input stays the same, correctable by importance weighting. This meaning comes from Shimodaira (2000) in Journal of Statistical Planning and Inference.[1]

Unit
Recovery means
Measured by

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Nearby constructs

conditional3 fields · 3 citationsjingle · one word, three constructsdataset shift1 fields · 1 citationsanchor · a standalone constructdistribution2 fields · 2 citationsjingle · one word, two constructs

References

  1. Shimodaira, H. (2000). Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2), 227-244. https://doi.org/10.1016/s0378-3758(00)00115-4

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