1366 search results - page 153 / 274 » Simulation Modeling and Optimization using ProModel |
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
We use probabilistic boolean networks to simulate the pathogenesis of Dengue Hemorraghic Fever (DHF). Based on Chaturvedi's work, the strength of cytokine influences are mode...
92
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AAAI
2008
15 years 3 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
105
Voted
CCGRID
2009
IEEE
15 years 7 months ago
2009
IEEE
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
113
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EUROCAST
2007
Springer
15 years 4 months ago
2007
Springer
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
83
Voted
SIBGRAPI
2008
IEEE
15 years 7 months ago
2008
IEEE
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...