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» Approximate algorithms for neural-Bayesian approaches
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ATAL
2003
Springer
15 years 11 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
INFOCOM
2002
IEEE
15 years 11 months ago
Optimal on-line estimation of the size of a dynamic multicast group
Abstract—In this paper we propose an efficient on-line estimation algorithm for determining the size of a dynamic multicast group. By using diffusion approximation and Kalman ...
Sara Alouf, Eitan Altman, Philippe Nain
CDC
2009
IEEE
125views Control Systems» more  CDC 2009»
15 years 10 months ago
Near-optimal deterministic filtering on the unit circle
— We present a near-optimal deterministic filter for systems that evolve on the unit circle. Unlike suboptimal filtering algorithms that rely on approximations of the system, t...
Paul William Coote, Jochen Trumpf, Robert E. Mahon...
CCS
2001
ACM
15 years 10 months ago
New Iterative Geometric Methods for Robust Perceptual Image Hashing
We propose a novel and robust hashing paradigm that uses iterative geometric techniques and relies on observations that main geometric features within an image would approximately ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
TACAS
1998
Springer
131views Algorithms» more  TACAS 1998»
15 years 10 months ago
Detecting Races in Relay Ladder Logic Programs
Relay Ladder Logic (RLL) [4] is a programming language widely used for complex embedded control applications such as manufacturing and amusement park rides. The cost of bugs in RLL...
Alexander Aiken, Manuel Fähndrich, Zhendong S...