Ensembles based on conformal instance transfer

Shuang Zhou; Evgueni Smirnov; Gijs Schoenmakers

Ensembles based on conformal instance transfer

Shuang Zhou, Evgueni Smirnov, Gijs Schoenmakers

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for dierent types of classiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming signicantly standard instance transfer methods. Keywords: Instance Transfer, Conformal Prediction, Ensembles

Original language	English
Title of host publication	Proceedings of Machine Learning Research
Subtitle of host publication	Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria
Pages	23-42
Volume	105
Publication status	Published - 2019

Publication series

Series	Proceedings of Machine Learning Research
ISSN	2640-3498

Access to Document

http://proceedings.mlr.press/v105/zhou19a/zhou19a.pdf

Cite this

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title = "Ensembles based on conformal instance transfer",

abstract = "In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for dierent types of classiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming signicantly standard instance transfer methods. Keywords: Instance Transfer, Conformal Prediction, Ensembles",

author = "Shuang Zhou and Evgueni Smirnov and Gijs Schoenmakers",

year = "2019",

language = "English",

volume = "105",

series = "Proceedings of Machine Learning Research",

publisher = "Proceedings of Machine Learning Research",

pages = "23--42",

booktitle = "Proceedings of Machine Learning Research",

}

Ensembles based on conformal instance transfer. / Zhou, Shuang; Smirnov, Evgueni ; Schoenmakers, Gijs.
Proceedings of Machine Learning Research: Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria. Vol. 105 2019. p. 23-42 (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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T1 - Ensembles based on conformal instance transfer

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AU - Smirnov, Evgueni

AU - Schoenmakers, Gijs

PY - 2019

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N2 - In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for dierent types of classiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming signicantly standard instance transfer methods. Keywords: Instance Transfer, Conformal Prediction, Ensembles

AB - In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for dierent types of classiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming signicantly standard instance transfer methods. Keywords: Instance Transfer, Conformal Prediction, Ensembles

M3 - Conference article in proceeding

VL - 105

T3 - Proceedings of Machine Learning Research

SP - 23

EP - 42

BT - Proceedings of Machine Learning Research

ER -