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SIAMJO
2011
12 years 10 months ago
Rank-Sparsity Incoherence for Matrix Decomposition
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Pa...
CSDA
2007
136views more  CSDA 2007»
13 years 7 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
14 years 4 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
14 years 1 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
WORDS
2005
IEEE
14 years 1 months ago
Progressive Ranking and Composition of Web Services Using Covering Arrays
Major computer companies and government agencies are adopting Web Services (WS) technology. Web services must ensure interoperability and security, and be reliable and trustworthy...
Charles J. Colbourn, Yinong Chen, Wei-Tek Tsai