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ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
CF
2008
ACM
14 years 5 days ago
2008
ACM
This paper contributes and evaluates a model and a methodology for implementing parallel wavefront algorithms on the Cell Broadband Engine. Wavefront algorithms are vital in sever...
DAC
2011
ACM
12 years 10 months ago
2011
ACM
This paper presents a simulation toolset for estimating the impact of Trusted Platform Modules (TPMs) on the performance of applications that use TPM services, especially in multi...
FOCS
2009
IEEE
14 years 5 months ago
2009
IEEE
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
UAI
2008
13 years 11 months ago
2008
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...