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Learning Parameters in Deep Belief Networks Through Firefly Algorithm.

, , , , , and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 138-149. Springer, (2016)

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Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques., , , , and . J. Comput. Sci., (2015)Convolutional Neural Networks Applied for Parkinson's Disease Identification., , , , and . Machine Learning for Health Informatics, volume 9605 of Lecture Notes in Computer Science, Springer, (2016)Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics., , , , and . SIBGRAPI, page 340-346. IEEE Computer Society, (2016)Quaternionic Flower Pollination Algorithm., , , , and . CAIP (2), volume 10425 of Lecture Notes in Computer Science, page 47-58. Springer, (2017)Quaternion-based Deep Belief Networks fine-tuning., , , and . Appl. Soft Comput., (2017)Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection., , , , and . IET Networks, 8 (3): 164-168 (2019)Learning Parameters in Deep Belief Networks Through Firefly Algorithm., , , , , and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 138-149. Springer, (2016)Fine-Tuning Convolutional Neural Networks Using Harmony Search., , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 683-690. Springer, (2015)Feature selection using geometric semantic genetic programming., , and . GECCO (Companion), page 253-254. ACM, (2017)A recurrence plot-based approach for Parkinson's disease identification., , , , , , and . Future Gener. Comput. Syst., (2019)