Recursive neural network

A recursive neural network (RNN) is a kind of deep neural network created by applying the same set of weights recursively over a structure, to…

Papers overview

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2018

At present, the captcha is widely used in the Internet. The method of captcha recognition using the convolutional neural networks…

2017

In recent years, as a social media, WeChat develops rapidly and popularly. At the same time, with the increase in the number of…

2015

In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense…

2013

In this paper, we explore a novel bilingual word alignment approach based on DNN (Deep Neural Network), which has been proven to…

2005

The Semantic Web is based on technologies that make the content of the Web machine-understandable. In that framework, ontological…

2004

We consider two different methods for QSAR/QSPR regres- sion tasks: Recursive Neural Networks (RecNN) and a Support Vector…

2003

Recognizing a particular face in a complex image or in a video sequence, which the humans can simply accomplish using contextual…

2001

Recently, a number of authors have explored the use of recursive neural nets (RNN) for the adaptive processing of trees or tree…

1995

This paper presents a new recursive neural network to solve optimization problems. ILis made of binary neurons with feedbacks…

1990