RANK AND RESPONSE COMBINATION FROM CONFUSION MATRIX DATA
| dc.contributor.author | Parker, J. R. | eng |
| dc.date.accessioned | 2008-05-08T18:39:58Z | |
| dc.date.available | 2008-05-08T18:39:58Z | |
| dc.date.computerscience | 2000-06-20 | eng |
| dc.date.issued | 2000-06-20 | eng |
| dc.description.abstract | The use of prior behavior of a classifier, as measured by the confusion matrix, can yield useful information for merging multiple classifiers. In particular, response vectors can be estimated and a ranking of possible classes can be produced which can allow Borda type reconciliation methods to be applied. A combination of real data and the simulation of multiple classifiers is used to evaluate this idea, and to compare with eleven other classifier combination techniques. Millions of classifications were used in the evaluation. | eng |
| dc.description.notes | We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca | eng |
| dc.identifier.department | 2000-660-12 | eng |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/30952 | |
| dc.identifier.uri | http://hdl.handle.net/1880/46404 | |
| dc.language.iso | Eng | eng |
| dc.publisher.corporate | University of Calgary | eng |
| dc.publisher.faculty | Science | eng |
| dc.subject | Computer Science | eng |
| dc.title | RANK AND RESPONSE COMBINATION FROM CONFUSION MATRIX DATA | eng |
| dc.type | unknown | |
| thesis.degree.discipline | Computer Science | eng |
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