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Artificial Intelligence Applications and Innovations AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB Halkidiki, Greece, September 27-30, 2012, Part II |
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Conference papers
Distance Metric Learning-Based Conformal Predictor
Abstract : In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and online learning. Firstly, part of the training data was used in distance metric learning to get a space transformation matrix in the offline learning stage; Secondly, standard CP-KNN was conducted on the remaining training data with a nonconformity measure function defined by K nearest neighbors classifier in the transformed space. Experimental results on three UCI datasets demonstrate the efficiency of the new algorithm.
Keywords :
conformal predictor
distance metric learning
Cited literature [13 references]
https://hal.archives-ouvertes.fr/hal-01523097
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:17:34 AM
Last modification on : Thursday, March 5, 2020 - 5:41:49 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:26:55 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:17:34 AM
Last modification on : Thursday, March 5, 2020 - 5:41:49 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:26:55 AM
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