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» Learning missing values from summary constraints
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UAI
1997
13 years 11 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
ICASSP
2010
IEEE
13 years 10 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani
OSS
2007
Springer
14 years 4 months ago
Using Repository of Repositories (RoRs) to Study the Growth of F/OSS Projects: A Meta-Analysis Research Approach
Free/Open Source Software (F/OSS) repositories contain valuable data and their usefulness in studying software development and community activities continues to attract a lot of re...
Sulayman K. Sowe, Lefteris Angelis, Ioannis Stamel...
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 10 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
EDBT
2010
ACM
155views Database» more  EDBT 2010»
14 years 4 months ago
Reducing metadata complexity for faster table summarization
Since the visualization real estate puts stringent constraints on how much data can be presented to the users at once, table summarization is an essential tool in helping users qu...
K. Selçuk Candan, Mario Cataldi, Maria Luis...