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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.
2017
2017
Short Text Emotion Analysis Based on Recurrent Neural Network
In recent years, as a social media, WeChat develops rapidly and popularly. At the same time, with the increase in the number of… 
2016
2016
Block2Vec: A Deep Learning Strategy on Mining Block Correlations in Storage Systems
Block correlations represent the semantic patterns in storage systems. These correlations can be exploited for data caching, pre… 
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… 
2014
2014
Recursive Neural Networks for Learning Logical Semantics
Supervised recursive neural network models (RNNs) for sentence meaning have been successful in an array of sophisticated language… 
2009
2009
Using Artificial Neural Network for Robust Voice Activity Detection Under Adverse Conditions
We present an approach to model-based voice activity detection (VAD) for harsh environments. By using mel-frequency cepstral… 
2005
2005
Learning Ontology Alignments Using Recursive Neural Networks
The Semantic Web is based on technologies that make the content of the Web machine-understandable. In that framework, ontological… 
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… 
2001
2001
Simple Strategies to Encode Tree Automata in Sigmoid Recursive Neural Networks
Recently, a number of authors have explored the use of recursive neural nets (RNN) for the adaptive processing of trees or tree… 
1990
1990
Neural network for the reliability analysis of simplex systems
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