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SIAMSC
2010
151views more  SIAMSC 2010»
13 years 8 months ago
An Inner-Outer Iteration for Computing PageRank
We present a new iterative scheme for PageRank computation. The algorithm is applied to the linear system formulation of the problem, using inner-outer stationary iterations. It is...
David F. Gleich, Andrew P. Gray, Chen Greif, Tracy...
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
12 years 13 days ago
Robust Reputation-Based Ranking on Bipartite Rating Networks
With the growth of the Internet and E-commerce, bipartite rating networks are ubiquitous. In such bipartite rating networks, there exist two types of entities: the users and the o...
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
CSDA
2007
128views more  CSDA 2007»
13 years 10 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
CVPR
2007
IEEE
15 years 1 days ago
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 4 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...