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SIAMMAX
2010
145views more  SIAMMAX 2010»
15 years 1 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
TASLP
2010
144views more  TASLP 2010»
15 years 1 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
SIAMREV
2011
61views more  SIAMREV 2011»
14 years 9 months ago
The Mathematics of Atmospheric Dispersion Modeling
The Gaussian plume model is a standard approach for studying the transport of airborne contaminants due to turbulent diffusion and advection by the wind. This paper reviews the as...
John M. Stockie
SOFSEM
2012
Springer
14 years 2 months ago
Recent Challenges and Ideas in Temporal Synthesis
In automated synthesis, we transform a specification into a system that is guaranteed to satisfy the specification against all environments. While modelchecking theory has led to...
Orna Kupferman
MOR
2002
94views more  MOR 2002»
15 years 6 months ago
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...
Andreas S. Schulz, Robert Weismantel