Song Qing

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For training algorithms of recurrent neural networks (RNN), convergent speed and training error are always two contradictory performances. In this letter, we propose a normalized adaptive recurrent learning (NARL) to obtain a tradeoff between transient and steady-state response. An augmented term is added to error gradient to exactly model the derivative of(More)
BACKGROUND We aimed to evaluate the combination therapy of Chinese herbs plus interferon and ribavirin in treatment of patients with chronic hepatitis C (CHC). MATERIAL AND METHODS Related databases were searched to identify randomized controlled trials (RCTs) that evaluated biochemical response, virological response, histological response, and/or adverse(More)
Many applications of natural language processing (NLP) need an accurate resolution of various ambiguities existing in natural language. The task of fulfilling this need is also called word sense disambiguation (WSD). WSD is to resolve the correct sense for an instance of a polysemous word. On the other hand, as one of the most popular machine learning(More)
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