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» Approximate algorithms for neural-Bayesian approaches
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WADS
2007
Springer
104views Algorithms» more  WADS 2007»
15 years 3 months ago
Faster Approximation of Distances in Graphs
Let G = (V, E) be an weighted undirected graph on n vertices and m edges, and let dG be its shortest path metric. We present two simple deterministic algorithms for approximating ...
Piotr Berman, Shiva Prasad Kasiviswanathan
CAD
2008
Springer
14 years 9 months ago
Detecting approximate symmetries of discrete point subsets
Detecting approximate symmetries of parts of a model is important when attempting to determine the geometric design intent of approximate boundary-representation (B-rep) solid mod...
Ming Li, Frank C. Langbein, Ralph R. Martin
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 9 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
MOC
2000
86views more  MOC 2000»
14 years 9 months ago
Numerical algorithms for semilinear parabolic equations with small parameter based on approximation of stochastic equations
The probabilistic approach is used for constructing special layer methods to solve the Cauchy problem for semilinear parabolic equations with small parameter. Despite their probabi...
G. N. Milstein, M. V. Tretyakov
67
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TWC
2008
150views more  TWC 2008»
14 years 9 months ago
Convex approximation techniques for joint multiuser downlink beamforming and admission control
Multiuser downlink beamforming under quality of service (QoS) constraints has attracted considerable interest in recent years, because it is particularly appealing from a network o...
Evaggelia Matskani, Nicholas D. Sidiropoulos, Zhi-...