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» Distributed constrained optimization over noisy networks
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UAI
2000
13 years 9 months ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola
DCC
2008
IEEE
14 years 7 months ago
High-Resolution Functional Quantization
Suppose a function of N real source variables XN 1 = (X1, X2, . . . , XN ) is desired at a destination constrained to receive a limited number of bits. If the result of evaluating...
Vinith Misra, Vivek K. Goyal, Lav R. Varshney
CEC
2007
IEEE
14 years 2 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
DDECS
2008
IEEE
137views Hardware» more  DDECS 2008»
14 years 2 months ago
Cluster-based Simulated Annealing for Mapping Cores onto 2D Mesh Networks on Chip
Abstract—In Network-on-Chip (NoC) application design, coreto-node mapping is an important but intractable optimization problem. In the paper, we use simulated annealing to tackle...
Zhonghai Lu, Lei Xia, Axel Jantsch
ICDCS
2009
IEEE
14 years 4 months ago
m-LIGHT: Indexing Multi-Dimensional Data over DHTs
In this paper, we study the problem of indexing multidimensional data in the P2P networks based on distributed hash tables (DHTs). We identify several design issues and propose a ...
Yuzhe Tang, Jianliang Xu, Shuigeng Zhou, Wang-Chie...