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Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation.
Ke Shang
Tianye Shu
Hisao Ishibuchi
Published in:
IEEE Trans. Evol. Comput. (2024)
Keyphrases
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learning process
small number
training data
reinforcement learning
active learning
probability distribution
supervised learning
learning systems
data sets
neural network
learning algorithm
learning environment
feature vectors
prior knowledge
learning scenarios
hypothesis space