Sökning: onr:"swepub:oai:DiVA.org:his-3627" > A Study on Class-Sp...
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000 | 04671naa a2200529 4500 | |
001 | oai:DiVA.org:his-3627 | |
003 | SwePub | |
008 | 100201s2008 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:kth-221514 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-36272 URI |
024 | 7 | a https://doi.org/10.1109/MFI.2008.46480122 DOI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2215142 URI |
040 | a (SwePub)hisd (SwePub)kth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Johansson, Ronnieu Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,The Distributed Real-Time Systems Research Group,Högskolan i Skövde, Institutionen för kommunikation och information4 aut0 (Swepub:his)joso |
245 | 1 0 | a A Study on Class-Specifically Discounted Belief for Ensemble Classifiers |
264 | 1 | b IEEE,c 2008 |
338 | a print2 rdacarrier | |
500 | a QC 20180123 | |
520 | a Ensemble classifiers are known to generally perform better than their constituent classifiers. Whereas a lot of work has been focusing on the generation of classifiers for ensembles, much less attention has been given to the fusion of individual classifier outputs. One approach to fuse the outputs is to apply Shafer’s theory of evidence, which provides a flexible framework for expressing and fusing beliefs. However, representing and fusing beliefs is non-trivial since it can be performed in a multitude of ways within the evidential framework. In a previous article, we compared different evidential combination rules for ensemble fusion. The study involved a single belief representation which involved discounting (i.e., weighting) the classifier outputs with classifier reliability. The classifier reliability was interpreted as the classifier’s estimated accuracy, i.e., the percentage of correctly classified examples. However, classifiers may have different performance for different classes and in this work we assign the reliability of a classifier output depending on the classspecific reliability of the classifier. Using 27 UCI datasets, we compare the two different ways of expressing beliefs and some evidential combination rules. The result of the study indicates that there is indeed an advantage of utilizing class-specific reliability compared to accuracy in an evidential framework for combining classifiers in the ensemble design considered. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Systemvetenskap, informationssystem och informatik0 (SwePub)102022 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Information Systems0 (SwePub)102022 hsv//eng |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng |
653 | a ensemble classifiers | |
653 | a random forests | |
653 | a evidence theory | |
653 | a Dempster-Shafer theory | |
653 | a combination rules | |
653 | a Technology | |
653 | a Teknik | |
653 | a Distribuerade realtidssystem (DRTS) | |
653 | a Distributed Real-Time Systems | |
653 | a Skövde Artificial Intelligence Lab (SAIL) | |
653 | a Skövde Artificial Intelligence Lab (SAIL) | |
700 | 1 | a Boström, Henriku Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,Skövde Cognition and Artificial Intelligence Lab (SCAI),Högskolan i Skövde, Institutionen för kommunikation och information4 aut0 (Swepub:kth)u1r0rr47 |
700 | 1 | a Karlsson, Alexanderu Högskolan i Skövde,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi,The Distributed Real-Time Systems Research Group,Högskolan i Skövde, Institutionen för kommunikation och information4 aut0 (Swepub:his)karx |
710 | 2 | a Högskolan i Skövdeb Institutionen för kommunikation och information4 org |
773 | 0 | t 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systemsd : IEEEg , s. 614-619q <614-619z 9781424421442z 9781424421435 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3627 |
856 | 4 8 | u https://doi.org/10.1109/MFI.2008.4648012 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221514 |
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