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APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
15 years 10 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
151
Voted
ICIP
2005
IEEE
16 years 6 months ago
Approximations of posterior distributions in blind deconvolution using variational methods
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
128
Voted
DAGSTUHL
2004
15 years 6 months ago
Numerical Approximation of Parabolic Stochastic Partial Differential Equations
The topic of the talk were the time approximation of quasi linear stochastic partial differential equations of parabolic type. The framework were in the setting of stochastic evolu...
Erika Hausenblas
140
Voted
CORR
2011
Springer
256views Education» more  CORR 2011»
15 years 1 hour ago
Approximating Graphic TSP by Matchings
We present a framework for approximating the metric TSP based on a novel use of matchings. Traditionally, matchings have been used to add edges in order to make a given graph Eule...
Tobias Mömke, Ola Svensson
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 11 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...