|
Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Investigación >
Departamentos >
Departamento de Teoría de la Señal y Comunicaciones >
Grupo de Procesado Multimedia >
DTSC - GPM - Capítulos de Monografías >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/13110
|
| Title: | Detecting Features from Confusion Matrices using Generalized Formal Concept Analysis |
| Author(s): | Peláez-Moreno, Carmen
Valverde-Albacete, Francisco J. |
| Publisher: | Springer |
| Issued date: | 2010 |
| Citation: | Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II. Springer, 2010, pp 375-382. |
| URI: | http://hdl.handle.net/10016/13110 |
| ISBN: | 978-3-642-13802-7 |
| DOI: | http://dx.doi.org/10.1007/978-3-642-13803-4_47 |
| 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. |
| Sponsor: | This work has been supported by Spanish Government-Comisión Interministerial de Ciencia y Tecnología TEC2008-02473/TEC y TEC2008-06382/TEC. |
| Serie / Nº.: | Lecture Notes in Computer Science
Vol. 6077 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-642-13803-4_47 |
| Keywords: | Formal Concept Analysis
confusion matrix
contingency matrix
phonetics
biclustering |
| Rights: | © Springer-Verlag Berlin Heidelberg |
| Appears in Collections: | DTSC - GPM - Comunicaciones en congresos y otros eventos
DTSC - GPM - Capítulos de Monografías
|
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.
|
