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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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Related topics
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12 relations
Broader (1)
Artificial intelligence
Artificial neural network
Backpropagation through structure
Backpropagation through time
Deep learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Verification CAPTCHA Based on Deep Learning
Tao Zhang
,
Honglei Zheng
,
Lele Zhang
Cybersecurity and Cyberforensics Conference
2018
Corpus ID: 52935758
At present, the captcha is widely used in the Internet. The method of captcha recognition using the convolutional neural networks…
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2018
2018
Learning sentence embeddings using Recursive Networks
Anson Bastos
arXiv.org
2018
Corpus ID: 46896759
Learning sentence vectors that generalise well is a challenging task. In this paper we compare three methods of learning phrase…
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2017
2017
Collective Vertex Classification Using Recursive Neural Network
Qiongkai Xu
,
Qing Wang
,
Chenchen Xu
,
Lizhen Qu
arXiv.org
2017
Corpus ID: 16481868
Collective classification of vertices is a task of assigning categories to each vertex in a graph based on both vertex attributes…
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2015
2015
Making a Manageable Email Experience with Deep Learning Final Report
L. Eugene
2015
Corpus ID: 14407625
This paper uses Deep Learning algorithms in the context of Natural Language Processing (NLP) and more specifically applies them…
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2015
2015
Recursive Nested Neural Network for Sentiment Analysis
M. Sharif
2015
Corpus ID: 12516510
Early sentiment prediction systems use semantic vector representation of words to express longer phrases and sentences. These…
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2014
2014
Improving the robustness of example-based dialog retrieval using recursive neural network paraphrase identification
Lasguido Nio
,
S. Sakti
,
Graham Neubig
,
Tomoki Toda
,
Satoshi Nakamura
Spoken Language Technology Workshop
2014
Corpus ID: 18479129
Previous work on example-based chat-oriented dialog systems utilizing real human-to-human conversation has shown promising…
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2005
2005
LEARNING NUMBERS FROM GRAPHS
A. Goulon
,
A. Duprat
,
G. Dreyfus
2005
Corpus ID: 54135177
The recent developments of statistical learning focused mainly on vector machines, i.e. on machines that learn from examples…
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2004
2004
A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks
A. Micheli
,
F. Portera
,
A. Sperduti
The European Symposium on Artificial Neural…
2004
Corpus ID: 2794531
We consider two different methods for QSAR/QSPR regres- sion tasks: Recursive Neural Networks (RecNN) and a Support Vector…
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2000
2000
Learning incremental syntactic structures with recursive neural networks
Fabrizio Costa
,
P. Frasconi
,
V. Lombardo
,
G. Soda
KES'. Fourth International Conference on…
2000
Corpus ID: 7936733
We develop novel algorithmic ideas for building a natural language parser grounded upon the hypothesis of incrementality, which…
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1993
1993
Recursive neural networks with high capacity
C. Chen
,
J. Cheung
IEEE International Conference on Neural Networks
1993
Corpus ID: 61686888
square root 3/sup n-1/ is derived as the lower bound of maximum capacity in n-neuron recursive neural networks. It is shown that…
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