A probe-then-fit portfolio of five metaheuristics attains the best rank in average test accuracy on 16 benchmarks for probabilistic neural networks, but the test set appears to be used as the training objective.
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Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
A probe-then-fit portfolio of five metaheuristics attains the best rank in average test accuracy on 16 benchmarks for probabilistic neural networks, but the test set appears to be used as the training objective.