Improving Reliable Probabilistic Prediction by Using Additional Knowledge. / Nouretdinov, Ilia.

6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). Vol. 60 2017. p. 193-200.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

Improving Reliable Probabilistic Prediction by Using Additional Knowledge. / Nouretdinov, Ilia.

6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). Vol. 60 2017. p. 193-200.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Nouretdinov, I 2017, Improving Reliable Probabilistic Prediction by Using Additional Knowledge. in 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). vol. 60, pp. 193-200. <http://proceedings.mlr.press/v60/nouretdinov17b.html>

APA

Nouretdinov, I. (2017). Improving Reliable Probabilistic Prediction by Using Additional Knowledge. In 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017) (Vol. 60, pp. 193-200) http://proceedings.mlr.press/v60/nouretdinov17b.html

Vancouver

Nouretdinov I. Improving Reliable Probabilistic Prediction by Using Additional Knowledge. In 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). Vol. 60. 2017. p. 193-200

Author

Nouretdinov, Ilia. / Improving Reliable Probabilistic Prediction by Using Additional Knowledge. 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). Vol. 60 2017. pp. 193-200

BibTeX

@inproceedings{3dcd707103f14852b6c3275aa37432a6,
title = "Improving Reliable Probabilistic Prediction by Using Additional Knowledge",
abstract = "Venn Machine is a recently developed machine learning framework for reliable probabilistic prediction of the labels for new examples/. This work proposes a way to extend Venn machine to the framework known as Learning Under Privileged Information: some additional features are available for a part of the training set, and are missing for the example being predicted. We suggest obtaining use from this information by making a it taxonomy transfer where taxonomy is the core detail of Venn Machine framework so that the transfer is done from the examples with additional information to the examples without additional information. ",
keywords = "Venn machine, reliable probabilistic prediction, additional information, transfer",
author = "Ilia Nouretdinov",
year = "2017",
month = jun,
language = "English",
volume = "60",
pages = "193--200",
booktitle = "6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017)",

}

RIS

TY - GEN

T1 - Improving Reliable Probabilistic Prediction by Using Additional Knowledge

AU - Nouretdinov, Ilia

PY - 2017/6

Y1 - 2017/6

N2 - Venn Machine is a recently developed machine learning framework for reliable probabilistic prediction of the labels for new examples/. This work proposes a way to extend Venn machine to the framework known as Learning Under Privileged Information: some additional features are available for a part of the training set, and are missing for the example being predicted. We suggest obtaining use from this information by making a it taxonomy transfer where taxonomy is the core detail of Venn Machine framework so that the transfer is done from the examples with additional information to the examples without additional information.

AB - Venn Machine is a recently developed machine learning framework for reliable probabilistic prediction of the labels for new examples/. This work proposes a way to extend Venn machine to the framework known as Learning Under Privileged Information: some additional features are available for a part of the training set, and are missing for the example being predicted. We suggest obtaining use from this information by making a it taxonomy transfer where taxonomy is the core detail of Venn Machine framework so that the transfer is done from the examples with additional information to the examples without additional information.

KW - Venn machine, reliable probabilistic prediction, additional information, transfer

M3 - Conference contribution

VL - 60

SP - 193

EP - 200

BT - 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017)

ER -