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SIGKDD
2010
151views more  SIGKDD 2010»
13 years 3 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 25 days ago
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
— This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on realworld link predictio...
Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubin...
CIKM
2009
Springer
14 years 3 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
JMLR
2008
230views more  JMLR 2008»
13 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
ICDCS
2012
IEEE
11 years 11 months ago
Securing Virtual Coordinates by Enforcing Physical Laws
—Virtual coordinate systems (VCS) provide accurate estimations of latency between arbitrary hosts on a network, while conducting a small amount of actual measurements and relying...
Jeffrey Seibert, Sheila Becker, Cristina Nita-Rota...