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Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.02.023"},{"key":"e_1_3_2_1_11_1","volume-title":"Binaryconnect: Training deep neural networks with binary weights during propagations. In Advances in Neural Information Processing Systems. 3123--3131.","author":"Courbariaux Matthieu","year":"2015","unstructured":"Matthieu Courbariaux , Yoshua Bengio , and Jean-Pierre David . 2015 . Binaryconnect: Training deep neural networks with binary weights during propagations. In Advances in Neural Information Processing Systems. 3123--3131. Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David. 2015. Binaryconnect: Training deep neural networks with binary weights during propagations. 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Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 ( 2013 ). Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)."},{"key":"e_1_3_2_1_37_1","first-page":"3","article-title":"Recurrent neural network based language model","volume":"2","author":"Mikolov Tomas","year":"2010","unstructured":"Tomas Mikolov , Martin Karafi\u00e1t , Lukas Burget , Jan Cernocky , and Sanjeev Khudanpur . 2010 . Recurrent neural network based language model .. In Interspeech , Vol. 2. 3 . Tomas Mikolov, Martin Karafi\u00e1t, Lukas Burget, Jan Cernocky, and Sanjeev Khudanpur. 2010. Recurrent neural network based language model.. In Interspeech, Vol. 2. 3.","journal-title":"Interspeech"},{"key":"e_1_3_2_1_38_1","volume-title":"Naive bayes classifiers","author":"Murphy Kevin P","unstructured":"Kevin P Murphy . 2006. Naive bayes classifiers . 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