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Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability.
Nassim Razaaly
Pietro Marco Congedo
Published in:
J. Comput. Phys. (2018)
Keyphrases
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learning algorithm
importance sampling
monte carlo
dynamic programming
reinforcement learning
k means
metamodel
markov chain
posterior probability
database
machine learning
artificial intelligence
learning process
probabilistic model
kalman filter
incremental learning
databases