TY - GEN
T1 - Multi-label classification algorithm derived from K-nearest neighbor rule with label dependencies
AU - Younes, Zoulficar
AU - Abdallah, Fahed
AU - Denoeux, Thierry
PY - 2008
Y1 - 2008
N2 - In multi-label learning, each instance in the training set is associated with a set of labels, and the task is to output a label set whose size is unknown a priori for each unseen instance. Common approaches to multi-label classification learn independent classifiers for each category, and perform ranking or thresholding schemes in order to obtain multi-label classification. In this paper, we describe an original method for multi-label classification problems derived from a Bayesian version of the K-nearest neighbor (KNN), and taking into account the dependencies between labels. Experiments on benchmark datasets show the usefulness and the efficiency of the proposed method compared to other existing methods. copyright by EURASIP.
AB - In multi-label learning, each instance in the training set is associated with a set of labels, and the task is to output a label set whose size is unknown a priori for each unseen instance. Common approaches to multi-label classification learn independent classifiers for each category, and perform ranking or thresholding schemes in order to obtain multi-label classification. In this paper, we describe an original method for multi-label classification problems derived from a Bayesian version of the K-nearest neighbor (KNN), and taking into account the dependencies between labels. Experiments on benchmark datasets show the usefulness and the efficiency of the proposed method compared to other existing methods. copyright by EURASIP.
UR - http://www.scopus.com/inward/record.url?scp=70349868873&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:70349868873
T3 - European Signal Processing Conference
BT - 16th European Signal Processing Conference, EUSIPCO 2008
PB - European Signal Processing Conference, EUSIPCO
CY - Lausanne
T2 - 16th European Signal Processing Conference, EUSIPCO 2008
Y2 - 25 August 2008 through 29 August 2008
ER -