TY - GEN
T1 - Estimation and clustering with infinite rankings
AU - Meilǎ, Marina
AU - Bao, Le
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - This paper presents a natural extension of stagewise ranking to the the case of infinitely many items. We introduce the infinite generalized Mallows model (IGM), describe its properties and give procedures to estimate it from data. For estimation of multimodal distributions we introduce the ExponentialBlurring-Mean-Shift nonparametric clustering algorithm. The experiments highlight the properties of the new model and demonstrate that infinite models can be simple, elegant and practical.
AB - This paper presents a natural extension of stagewise ranking to the the case of infinitely many items. We introduce the infinite generalized Mallows model (IGM), describe its properties and give procedures to estimate it from data. For estimation of multimodal distributions we introduce the ExponentialBlurring-Mean-Shift nonparametric clustering algorithm. The experiments highlight the properties of the new model and demonstrate that infinite models can be simple, elegant and practical.
UR - http://www.scopus.com/inward/record.url?scp=79551502569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79551502569&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79551502569
SN - 0974903949
SN - 9780974903941
T3 - Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008
SP - 393
EP - 402
BT - Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008
T2 - 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008
Y2 - 9 July 2008 through 12 July 2008
ER -