RT Journal Article
T1 Detecting Features from Confusion Matrices using Generalized Formal Concept Analysis
A1 Peláez Moreno, Carmen
A1 Valverde Albacete, Francisco José
AB 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.
PB Springer
SN 978-3-642-13802-7
YR 2010
FD 2010
LK https://hdl.handle.net/10016/13110
UL https://hdl.handle.net/10016/13110
LA eng
NO This work has been supported by Spanish Government-Comisión Interministerial de Ciencia y Tecnología TEC2008-02473/TEC y TEC2008-06382/TEC.
DS e-Archivo
RD 19 may. 2024