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» Introduction to Randomized Algorithms
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153
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ICASSP
2009
IEEE
15 years 10 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
ICASSP
2011
IEEE
14 years 7 months ago
Identification of ARMA models using intermittent and quantized output observations
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Damián Marelli, Keyou You, Minyue Fu
126
Voted
ASPDAC
2007
ACM
112views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Efficient Second-Order Iterative Methods for IR Drop Analysis in Power Grid
Due to the extremely large sizes of power grids, IR drop analysis has become a computationally challenging problem both in terms of runtime and memory usage. It has been shown in [...
Yu Zhong, Martin D. F. Wong
AAAI
1997
15 years 5 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
119
Voted
SODA
2010
ACM
173views Algorithms» more  SODA 2010»
16 years 1 months ago
Distributed Agreement with Optimal Communication Complexity
We consider the problem of fault-tolerant agreement in a crash-prone synchronous system. We present a new randomized consensus algorithm that achieves optimal communication effici...
Seth Gilbert, Dariusz Kowalski