TY - GEN
T1 - Localized sliced inverse regression
AU - Wu, Qiang
AU - Mukherjee, Sayan
AU - Liang, Feng
PY - 2009
Y1 - 2009
N2 - We developed localized sliced inverse regression for supervised dimension reduction. It has the advantages of preventing degeneracy, increasing estimation accuracy, and automatic subclass discovery in classification problems. A semisupervised version is proposed for the use of unlabeled data. The utility is illustrated on simulated as well as real data sets.
AB - We developed localized sliced inverse regression for supervised dimension reduction. It has the advantages of preventing degeneracy, increasing estimation accuracy, and automatic subclass discovery in classification problems. A semisupervised version is proposed for the use of unlabeled data. The utility is illustrated on simulated as well as real data sets.
UR - http://www.scopus.com/inward/record.url?scp=84858786634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858786634&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84858786634
SN - 9781605609492
T3 - Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
SP - 1785
EP - 1792
BT - Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
PB - Neural Information Processing Systems
T2 - 22nd Annual Conference on Neural Information Processing Systems, NIPS 2008
Y2 - 8 December 2008 through 11 December 2008
ER -