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» Kernels and Regularization on Graphs
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ICASSP
2011
IEEE
14 years 4 months ago
Multi-graph regularization for efficient delivery of user generated content in online social networks
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
Jacob Chakareski
101
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 28 days ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
TSP
2008
89views more  TSP 2008»
15 years 12 days ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
77
Voted
DM
2008
100views more  DM 2008»
15 years 18 days ago
Constructing and classifying neighborhood anti-Sperner graphs
For a simple graph G let NG(u) be the (open) neighborhood of vertex u V (G). Then G is neighborhood anti-Sperner (NAS) if for every u there is a v V (G)\{u} with NG(u) NG(v). A...
John P. McSorley
107
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Meng Sun, Hugo Van hamme