Publication: Detecting Features from Confusion Matrices using Generalized Formal Concept Analysis
dc.affiliation.dpto | UC3M. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Procesado Multimedia | es |
dc.contributor.author | Peláez Moreno, Carmen | |
dc.contributor.author | Valverde Albacete, Francisco José | |
dc.date.accessioned | 2012-01-30T13:54:18Z | |
dc.date.accessioned | 2012-01-30T14:54:27Z | |
dc.date.available | 2012-01-30T14:54:27Z | |
dc.date.issued | 2010 | |
dc.description.abstract | We claim that the confusion matrices of multiclass problems can be analyzed by means of a generalization of Formal Concept Analysis to obtain symbolic information about the feature sets of the underlying classification task.We prove our claims by analyzing the confusion matrices of human speech perception experiments and comparing our results to those elicited by experts. | |
dc.description.sponsorship | This work has been supported by Spanish Government-Comisión Interministerial de Ciencia y Tecnología TEC2008-02473/TEC y TEC2008-06382/TEC. | |
dc.description.status | Publicado | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.identifier.bibliographicCitation | Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II. Springer, 2010, pp 375-382. | |
dc.identifier.doi | 10.1007/978-3-642-13803-4_47 | |
dc.identifier.isbn | 978-3-642-13802-7 | |
dc.identifier.uri | https://hdl.handle.net/10016/13110 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.relation.ispartofseries | Vol. 6077 | |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-642-13803-4_47 | |
dc.rights | © Springer-Verlag Berlin Heidelberg | |
dc.rights.accessRights | open access | |
dc.subject.eciencia | Telecomunicaciones | |
dc.subject.other | Formal Concept Analysis | |
dc.subject.other | confusion matrix | |
dc.subject.other | contingency matrix | |
dc.subject.other | phonetics | |
dc.subject.other | biclustering | |
dc.title | Detecting Features from Confusion Matrices using Generalized Formal Concept Analysis | |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- pelaez_detecting_HAIS_2010.pdf
- Size:
- 526.85 KB
- Format:
- Adobe Portable Document Format