Transductive Conformal Prediction. / Vovk, Vladimir.

In: International Journal on Artificial Intelligence Tools, Vol. 24, No. 6, 1560001, 21.12.2015.

Research output: Contribution to journalArticlepeer-review





This paper discusses transductive versions of conformal predictors and inductive conformal predictors. The transductive versions are computationally inefficient for long test sequences, but it turns out that apparently crude "Bonferroni predictors" are about as good in their informational efficiency and vastly superior in computational efficiency. The paper explores transductive predictors both theoretically and experimentally, in the latter case using the standard USPS data set of handwritten digits.
Original languageEnglish
Article number1560001
JournalInternational Journal on Artificial Intelligence Tools
Issue number6
Publication statusPublished - 21 Dec 2015
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 25416332