TY - GEN
T1 - Selecting objects for ALVOT
AU - Medina-Pérez, Miguel Angel
AU - García-Borroto, Milton
AU - Villuendas-Rey, Yenny
AU - Ruiz-Shulcloper, José
PY - 2006
Y1 - 2006
N2 - ALVOT is a model of supervised classification based on partial precedences. In this paper a new object selection method based on a voting procedure for ALVOT is proposed. The method was developed for dealing with databases having objects described by features that are not exclusively numeric or categorical. A comparative numerical experiment was performed with different algorithms of object selection. The experimental results show a good performance of the proposed method with respect to the other algorithms.
AB - ALVOT is a model of supervised classification based on partial precedences. In this paper a new object selection method based on a voting procedure for ALVOT is proposed. The method was developed for dealing with databases having objects described by features that are not exclusively numeric or categorical. A comparative numerical experiment was performed with different algorithms of object selection. The experimental results show a good performance of the proposed method with respect to the other algorithms.
UR - http://www.scopus.com/inward/record.url?scp=33845209967&partnerID=8YFLogxK
U2 - 10.1007/11892755_63
DO - 10.1007/11892755_63
M3 - Contribución a la conferencia
SN - 3540465561
SN - 9783540465560
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 606
EP - 613
BT - Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
PB - Springer Verlag
T2 - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
Y2 - 14 November 2006 through 17 November 2006
ER -