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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
DAC
2005
ACM
16 years 7 months ago
Physically-aware HW-SW partitioning for reconfigurable architectures with partial dynamic reconfiguration
Many reconfigurable architectures offer partial dynamic configurability, but current system-level tools cannot guarantee feasible implementations when exploiting this feature. We ...
Sudarshan Banerjee, Elaheh Bozorgzadeh, Nikil D. D...
ISCA
1992
IEEE
113views Hardware» more  ISCA 1992»
15 years 10 months ago
Dynamic Dependency Analysis of Ordinary Programs
A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of unipr...
Todd M. Austin, Gurindar S. Sohi
CCS
2008
ACM
15 years 8 months ago
Measuring network security using dynamic bayesian network
Given the increasing dependence of our societies on networked information systems, the overall security of these systems should be measured and improved. Existing security metrics...
Marcel Frigault, Lingyu Wang, Anoop Singhal, Sushi...
APVIS
2008
15 years 8 months ago
Dynamic Shader Generation for Flexible Multi-Volume Visualization
Volume rendering of multiple intersecting volumetric objects is a difficult visualization task, especially if different rendering styles need to be applied to the components, in o...
Friedemann Rößler, Ralf P. Botchen, Tho...