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» Partial least squares regression for graph mining
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MCS
2008
Springer
13 years 10 months ago
The role of "leads" in the dynamic OLS estimation of cointegrating regression models
In this paper, we consider the role of "leads" of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. Specific...
Kazuhiko Hayakawa, Eiji Kurozumi
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 11 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 11 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
NA
2007
120views more  NA 2007»
13 years 10 months ago
On choosing "optimal" shape parameters for RBF approximation
Many radial basis function (RBF) methods contain a free shape parameter that plays an important role for the accuracy of the method. In most papers the authors end up choosing this...
Gregory E. Fasshauer, Jack G. Zhang
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
14 years 25 days ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye