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IJAR
2007
55views more  IJAR 2007»
13 years 9 months ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
ICASSP
2010
IEEE
13 years 10 months ago
Quantization and compensation in sampled interleaved multi-channel systems
This paper considers the environment of interleaved, multi-channel measurements as arises for example in time-interleaved A/D converters and in distributed sensor networks. Such s...
Shay Maymon, Alan V. Oppenheim
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 10 months ago
Efficient and exact sampling of simple graphs with given arbitrary degree sequence
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications rangi...
Charo I. Del Genio, Hyunju Kim, Zoltán Toro...
IEEECIT
2010
IEEE
13 years 8 months ago
Metadata-Based Adaptive Sampling for Energy-Efficient Collaborative Target Tracking in Wireless Sensor Networks
—The increasingly complex roles for which Wireless Sensor Networks (WSNs) are being employed have driven the desire for energy-efficient reliable target tracking. In this paper, ...
Yousef E. M. Hamouda, Chris Phillips
UAI
2003
13 years 11 months ago
Practically Perfect
We prove that perfect distributions exist when using a finite number of bits to represent the parameters of a Bayesian network. In addition, we provide an upper bound on the prob...
Christopher Meek, David Maxwell Chickering