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Reinforcing learning in Deep Belief Networks through nature-inspired optimization.
Mateus Roder
Leandro Aparecido Passos
Gustavo Henrique de Rosa
Victor Hugo C. de Albuquerque
João Paulo Papa
Published in:
Appl. Soft Comput. (2021)
Keyphrases
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nature inspired
unsupervised learning
learning algorithm
deep learning
deep belief networks
global optimization
active learning
supervised learning
machine learning
artificial intelligence
reinforcement learning
probabilistic model
weakly supervised