Neural Decomposition of Time-Series Data for Effective Generalization von Godfrey, Luke B., Gashler, Michael S.

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Modeling time series data with deep Fourier neural networks von Gashler, Michael S., Ashmore, Stephen C.

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Missing Value Imputation with Unsupervised Backpropagation von Gashler, Michael S., Smith, Michael R., Morris, Richard, Martinez, Tony

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Uninorm-like parametric activation functions for human-understandable neural models von Csiszár, Orsolya, Pusztaházi, Luca Sára, Dénes-Fazakas, Lehel, Gashler, Michael S., Kreinovich, Vladik, Csiszár, Gábor

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Training Deep Fourier Neural Networks to Fit Time-Series Data von Gashler, Michael S., Ashmore, Stephen C.

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Uninorm-like parametric activation functions for human-understandable neural models von Csiszár, Orsolya, Pusztaházi, Luca Sára, Dénes-Fazakas, Lehel, Gashler, Michael S, Kreinovich, Vladik, Csiszár, Gábor

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Leveraging Product as an Activation Function in Deep Networks von Godfrey, Luke B, Gashler, Michael S

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A parameterized activation function for learning fuzzy logic operations in deep neural networks von Godfrey, Luke B, Gashler, Michael S

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Deep Learning in Robotics: A Review of Recent Research von Pierson, Harry A, Gashler, Michael S

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Neural Decomposition of Time-Series Data for Effective Generalization von Godfrey, Luke B, Gashler, Michael S

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A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks von Godfrey, Luke B, Gashler, Michael S

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Uninorm-like parametric activation functions for human-understandable neural models von Csiszár, Orsolya, Pusztaházi, Luca Sára, Dénes-Fazakas, Lehel, Gashler, Michael S, Kreinovich, Vladik, Csiszár, Gábor

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Leveraging Product as an Activation Function in Deep Networks von Godfrey, Luke B, Gashler, Michael S

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Training Deep Fourier Neural Networks To Fit Time-Series Data von Gashler, Michael S, Ashmore, Stephen C

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A Minimal Architecture for General Cognition von Gashler, Michael S, Kindle, Zachariah, Smith, Michael R

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A parameterized activation function for learning fuzzy logic operations in deep neural networks von Godfrey, Luke B, Gashler, Michael S

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Deep Learning in Robotics: A Review of Recent Research von Pierson, Harry A, Gashler, Michael S

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Missing Value Imputation With Unsupervised Backpropagation von Gashler, Michael S, Smith, Michael R, Morris, Richard, Martinez, Tony

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A continuum among logarithmic, linear, and exponential functions, and its potential to improve generalization in neural networks von Godfrey, Luke B, Gashler, Michael S

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Training Deep Fourier Neural Networks To Fit Time-Series Data von Gashler, Michael S, Ashmore, Stephen C

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