Bayesian sparse partial least squares.
Partial least squares (PLS) is a class of methods that makes use of a set of latent or unobserved variables to model the relation between (typically) two sets of input and output variables, respectively. Several flavors, depending on how the latent variables or components are computed, have been dev...
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
Massachusetts Institute of Technology Press
2013
|