486 search results - page 17 / 98 » Uniform Data Sampling from a Peer-to-Peer Network |
SUTC
2010
IEEE
14 years 8 months ago
2010
IEEE
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
JMLR
2010
14 years 4 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
IMC
2009
ACM
15 years 4 months ago
2009
ACM
We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
UAI
2003
14 years 11 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
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PKDD
2009
Springer
15 years 2 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...