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» Predictive Matrix-Variate t Models
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136
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SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 6 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
TIP
2011
114views more  TIP 2011»
14 years 11 months ago
Constrained Acquisition of Ink Spreading Curves From Printed Color Images
— Today’s spectral reflection prediction models are able to predict the reflection spectra of printed color images with an accuracy as high as the reproduction variability allo...
Thomas Bugnon, Roger D. Hersch
SECON
2010
IEEE
15 years 2 months ago
Adaptive Instantiation of the Protocol Interference Model in Mission-Critical Wireless Networks
Interference model is the basis of MAC protocol design in wireless networks, and it directly affects the efficiency and predictability of wireless messaging. To exploit the strengt...
Xin Che, Xiaohui Liu, Xi Ju, Hongwei Zhang
158
Voted
ICSE
2005
IEEE-ACM
16 years 4 months ago
Use of relative code churn measures to predict system defect density
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
Nachiappan Nagappan, Thomas Ball
SMC
2007
IEEE
111views Control Systems» more  SMC 2007»
15 years 11 months ago
Prediction method to maintain QoS in weather impacted wireless and satellite networks
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
Kamal Harb, Anand Srinivasan, Changcheng Huang, Br...