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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… 
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Broader (1)

Artificial intelligence
Artificial neural networkBackpropagation through structureBackpropagation through timeDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Verification CAPTCHA Based on Deep Learning
At present, the captcha is widely used in the Internet. The method of captcha recognition using the convolutional neural networks… 
2018
2018
Learning sentence embeddings using Recursive Networks
Learning sentence vectors that generalise well is a challenging task. In this paper we compare three methods of learning phrase… 
2015
2015
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense… 
2013
2013
mammothwill be a jiang shi yixiang juda gongcheng job ( a )
In this paper, we explore a novel bilingual word alignment approach based on DNN (Deep Neural Network), which has been proven to… 
Review
2004
Review
2004
Recursive neural filters and dynamical range transformers
A recursive neural filter employs a recursive neural network to process a measurement process to estimate a signal process. This… 
2004
2004
A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks
We consider two different methods for QSAR/QSPR regres- sion tasks: Recursive Neural Networks (RecNN) and a Support Vector… 
2003
2003
Face Localization with Recursive Neural Networks
Recognizing a particular face in a complex image or in a video sequence, which the humans can simply accomplish using contextual… 
1995
1995
Pulsed recursive neural networks and resource allocation, part 1: static allocation
  • L. Hérault
  • SPIE Defense + Commercial Sensing
  • 1995
  • Corpus ID: 173182054
This paper presents a new recursive neural network to solve optimization problems. ILis made of binary neurons with feedbacks… 
1990
1990
Neural network for the reliability analysis of simplex systems
1989
1989
Neural network algorithms for motion stereo
Motion stereo infers depth information from a sequence of image frames. Both batch and recursive neural network algorithms for… 
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