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143
Voted
INFOCOM
2012
IEEE
13 years 5 months ago
2012
IEEE
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...
124
Voted
AAAI
1998
15 years 4 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
119
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
158
Voted
ICIP
1999
IEEE
15 years 7 months ago
1999
IEEE
Optical diffusion tomography attempts to reconstruct an object cross section from measurements of scattered and attenuated light. While Bayesian approaches are well suited to this...
84
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...