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SIAMCO
2002
92views more  SIAMCO 2002»
15 years 2 months ago
Numerical Approximations for Stochastic Differential Games
The Markov chain approximation method is a widely used, relatively easy to use, and efficient family of methods for the bulk of stochastic control problems in continuous time, for...
Harold J. Kushner
PAMI
2011
14 years 10 months ago
Approximate Nearest Subspace Search
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
16 years 17 days ago
Amplified Hardness of Approximation for VCG-Based Mechanisms
If a two-player social welfare maximization problem does not admit a PTAS, we prove that any maximal-in-range truthful mechanism that runs in polynomial time cannot achieve an app...
Shaddin Dughmi, Hu Fu, Robert Kleinberg
ALT
1999
Springer
15 years 7 months ago
On the Uniform Learnability of Approximations to Non-Recursive Functions
Abstract. Blum and Blum (1975) showed that a class B of suitable recursive approximations to the halting problem is reliably EX-learnable. These investigations are carried on by sh...
Frank Stephan, Thomas Zeugmann
DCOSS
2010
Springer
15 years 6 months ago
Approximate Distributed Kalman Filtering for Cooperative Multi-agent Localization
Abstract. We consider the problem of estimating the locations of mobile agents by fusing the measurements of displacements of the agents as well as relative position measurements b...
Prabir Barooah, Wm. Joshua Russell, João P....