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» On Bayesian model and variable selection using MCMC
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JMLR
2006
118views more  JMLR 2006»
14 years 9 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
WSC
1997
14 years 11 months ago
Sensitivity of Output Performance Measures to Input Distributions in Queueing Simulation Modeling
With modern simulation packages, the modeler can choose almost any standard statistical distribution for generating input random variables. The question arises as to how sensitive...
Donald Gross, Man Juttijudata
INFOCOM
2005
IEEE
15 years 3 months ago
BARD: Bayesian-assisted resource discovery in sensor networks
Data dissemination in sensor networks requires four components: resource discovery, route establishment, packet forwarding, and route maintenance. Resource discovery can be the mos...
Fred Stann, John S. Heidemann
DSS
2006
170views more  DSS 2006»
14 years 9 months ago
Adoption of internet banking: An empirical study in Hong Kong
This study investigates how customers perceive and adopt Internet Banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with a...
T. C. Edwin Cheng, David Y. C. Lam, Andy C. L. Yeu...
ISCAS
2008
IEEE
166views Hardware» more  ISCAS 2008»
15 years 4 months ago
Complexity modeling of H.264/AVC CAVLC/UVLC entropy decoders
Abstract— A complexity model for context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) in the H.264/AVC decoder is proposed. CAVLC and...
Szu-Wei Lee, C. C. Jay Kuo