ML Anthology

Multiple Instance Regression

Soumya Ray, David Page
ICML 2001 pp. 425-432
/icml/2001/ray2001icml-multiple/

Abstract

This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independent variables. The goals of this work are to (1) understand the computational complexity of the multiple instance regression task and (2) develop an ecient algorithm that is superior to ordinary multiple regression when applied to multiple instance data sets.

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Cite

Text

Ray and Page. "Multiple Instance Regression." International Conference on Machine Learning, 2001.

Markdown

[Ray and Page. "Multiple Instance Regression." International Conference on Machine Learning, 2001.](https://mlanthology.org/icml/2001/ray2001icml-multiple/)

BibTeX

@inproceedings{ray2001icml-multiple,
  title     = {{Multiple Instance Regression}},
  author    = {Ray, Soumya and Page, David},
  booktitle = {International Conference on Machine Learning},
  year      = {2001},
  pages     = {425-432},
  url       = {https://mlanthology.org/icml/2001/ray2001icml-multiple/}
}