4738 search results - page 49 / 948 » Correlated Data Inference |
111
Voted
ICCD
2002
IEEE
15 years 9 months ago
2002
IEEE
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...
CORR
2010
Springer
2010
Springer
Binary is Good: A Binary Inference Framework for Primary User Separation in Cognitive Radio Networks
14 years 9 months ago
Primary users (PU) separation concerns with the issues of distinguishing and characterizing primary users in cognitive radio (CR) networks. We argue the need for PU separation in t...
132
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AAAI
2012
13 years 3 months ago
2012
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
BCSHCI
2007
15 years 2 months ago
2007
Eye-tracking research is increasingly used to supplement usability tests in both commercial and academic practice. However, while there has been research into links between eyetra...
114
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NIPS
2008
15 years 2 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...