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Black Box Algorithm Selection by Convolutional Neural Network
Deep learning, which has been shown to perform well on various classification and regression tasks, is applied to the algorithm selection problem in this paper.
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
Under the new framework, a fairly large number of training data generated by simulations are used to train a convolutional neural network for predicting the controllability robustness according to the input network-adjacency matrices, without performing conventional attack simulations.
Composing photomosaic images using clustering based evolutionary programming
With the constraint, the photomosaic problem becomes a combinatorial optimization problem.
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