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2001 | OriginalPaper | Buchkapitel

Overview of Supervised Learning

verfasst von : Trevor Hastie, Jerome Friedman, Robert Tibshirani

Erschienen in: The Elements of Statistical Learning

Verlag: Springer New York

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The first three examples described in Chapter 1 have several components in common. For each there is a set of variables that might be denoted as inputs, which are measured or preset. These have some influence on one or more outputs. For each example the goal is to use the inputs to predict the values of the outputs. This exercise is called supervised learning.

Metadaten
Titel
Overview of Supervised Learning
verfasst von
Trevor Hastie
Jerome Friedman
Robert Tibshirani
Copyright-Jahr
2001
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-0-387-21606-5_2

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