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Topic > Machine Learning > Bayesian Methods

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1 project in result set.

0. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al.

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop (Now Filtering)
License : OSI Approved (Now Filtering)
Operating System : OS Independent (Now Filtering)
Programming Language : R (Now Filtering)
Topic : Bayesian Statistics : General Model Fitting [Filter]
Topic : Machine Learning : Bayesian Methods [Filter]
Topic : Optimization : General Purpose Continuous Solvers [Filter]

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Registered: 2009-09-22 05:35