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Institution Date Title Author
臺大學術典藏 2018-09-10T07:04:06Z How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies Lin, T.; Horne, B.G.; Giles, C.L.; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T06:31:17Z Group-Linking method: A unified benchmark for Machine learning with recurrent neural network Lin, T.; Giles, C.L.; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T05:58:45Z Learning long-term dependencies in NARX recurrent neural networks Lin, T.;Horne, B.G.;Ti?o, P.;Giles, C.L.; Lin, T.; Horne, B.G.; Ti?o, P.; Giles, C.L.; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T05:58:45Z Learning long-term dependencies in NARX recurrent neural networks Lin, T.;Horne, B.G.;Ti?o, P.;Giles, C.L.; Lin, T.; Horne, B.G.; Ti?o, P.; Giles, C.L.; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T04:55:25Z Training recurrent neural networks with temporal input encodings Omlin, C.W.;Giles, C.L.;Horne, B.G.;Leerink, L.R.;Lin, T.; Omlin, C.W.; Giles, C.L.; Horne, B.G.; Leerink, L.R.; Lin, T.; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T04:55:25Z Training recurrent neural networks with temporal input encodings Omlin, C.W.;Giles, C.L.;Horne, B.G.;Leerink, L.R.;Lin, T.; Omlin, C.W.; Giles, C.L.; Horne, B.G.; Leerink, L.R.; Lin, T.; TSUNG-NAN LIN

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