%0 Conference Proceedings
%T Application of Conformal Predictors to Tea Classification Based on Electronic Nose
%+ Computer Learning Research Centre, Royal Holloway
%+ Department of Control Science and Engineering
%A Nouretdinov, Ilia
%A Li, Guang
%A Gammerman, Alexander
%A Luo, Zhiyuan
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Larnaca, Cyprus
%Y Harris Papadopoulos; Andreas S. Andreou; Max Bramer
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-339
%P 303-310
%8 2010-10-06
%D 2010
%R 10.1007/978-3-642-16239-8_40
%K Pattern Recognition
%K Tea Classification
%K Electronic Nose
%K Conformal Predictors
%K Support Vector Machines
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X In this paper, we present an investigation into the performance of conformal predictors for discriminating the aroma of different types of tea using an electronic nose system based on gas sensors. We propose a new non-conformity measure for the implementation of conformal predictors based on Support Vector Machine for multi-class classification problems. The experimental results have shown the good performance of the implemented conformal predictors.
%G English
%2 https://inria.hal.science/hal-01060632/document
%2 https://inria.hal.science/hal-01060632/file/NouretdinovLGL10.pdf
%L hal-01060632
%U https://inria.hal.science/hal-01060632
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-339
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5