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Using model uncertainty for robust optimization in approximate inference control.
Hideaki Itoh
Yoshitaka Sakai
Toru Kadoya
Hisao Fukumoto
Hiroshi Wakuya
Tatsuya Furukawa
Published in:
Artif. Life Robotics (2017)
Keyphrases
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robust optimization
stochastic programming
portfolio optimization
chance constrained
databases
decision making
probabilistic model
bayesian inference
decision theoretic
artificial intelligence
feature selection
theoretical framework
conditional probabilities