Criteria of efficiency for conformal prediction

Vladimir Vovk; Valentina Fedorova; Ilia Nouretdinov; Alex Gammerman

Criteria of efficiency for conformal prediction

Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman

Research output: Working paper

Abstract

We study optimal conformity measures for various criteria of eciency in an
idealized setting. This leads to an important class of criteria of eciency that
we call probabilistic; it turns out that the most standard criteria of eciency
used in literature are not probabilistic.

Original language	English
Place of Publication	On-line Compression Modelling Project (New Series)
Number of pages	19
Publication status	Published - 2014

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Mining the Network Behaviour of Bots
Cavallaro, L. (PI), Gammerman, A. (CoI), Vovk, V. (CoI), Shanahan, H. (CoI) & Luo, Z. (CoI)
Eng & Phys Sci Res Council EPSRC
16/06/13 → 17/04/17
Project: Research

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title = "Criteria of efficiency for conformal prediction",

abstract = "We study optimal conformity measures for various criteria of eciency in anidealized setting. This leads to an important class of criteria of eciency thatwe call probabilistic; it turns out that the most standard criteria of eciencyused in literature are not probabilistic.",

author = "Vladimir Vovk and Valentina Fedorova and Ilia Nouretdinov and Alex Gammerman",

year = "2014",

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AU - Vovk, Vladimir

AU - Fedorova, Valentina

AU - Nouretdinov, Ilia

AU - Gammerman, Alex

PY - 2014

Y1 - 2014

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M3 - Working paper

BT - Criteria of efficiency for conformal prediction

CY - On-line Compression Modelling Project (New Series)

ER -

Criteria of efficiency for conformal prediction

Abstract

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Mining the Network Behaviour of Bots

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