Matches in SemOpenAlex for { <https://semopenalex.org/work/W2600695737> ?p ?o ?g. }
- W2600695737 abstract "We develop an online learning method for prediction, which is important in problems with large and/or streaming data sets. We formulate the learning approach using a covariance-fitting methodology, and show that the resulting predictor has desirable computational and distribution-free properties: It is implemented online with a runtime that scales linearly in the number of samples; has a constant memory requirement; avoids local minima problems; and prunes away redundant feature dimensions without relying on restrictive assumptions on the data distribution. In conjunction with the split conformal approach, it also produces distribution-free prediction confidence intervals in a computationally efficient manner. The method is demonstrated on both real and synthetic datasets." @default.
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- W2600695737 date "2017-03-15" @default.
- W2600695737 modified "2023-09-25" @default.
- W2600695737 title "Online Learning for Distribution-Free Prediction." @default.
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