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A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions.
Luciano Sánchez
Inés Couso
Published in:
Int. J. Approx. Reason. (2018)
Keyphrases
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learning models
loss function
set valued
probabilistic model
prior knowledge
training data
learning algorithm
boosting framework
data mining
data points
training samples
data analysis
learning to rank
pairwise
supervised learning
real valued
optimal solution
fuzzy numbers
reinforcement learning
risk minimization