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SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 8 days ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
SC
2009
ACM
15 years 4 months ago
Evaluating use of data flow systems for large graph analysis
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
Andy Yoo, Ian Kaplan
IJCNN
2006
IEEE
15 years 3 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
DSRT
2009
IEEE
15 years 1 months ago
Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations
The recent emergence of dramatically large computational power, spanning desktops with multicore processors and multiple graphics cards to supercomputers with 105 processor cores,...
Kalyan S. Perumalla