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Random neural network
Known as:
RNN
The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It…
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Related topics
Related topics
8 relations
Action potential
Algorithm
Artificial neural network
Linear-nonlinear-Poisson cascade model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
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2018
Review
2018
Deep Learning Based vs. Markov Chain Based Text Generation for Cross Domain Adaptation for Sentiment Classification
Omar Abdelwahab
,
Adel Said Elmaghraby
IEEE International Conference on Information…
2018
Corpus ID: 51921428
Cross-domain adaptation for sentiment classification is the process of adapting a classifier that uses knowledge from one or…
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2018
2018
Improved Tdnns Using Deep Kernels and Frequency Dependent Grid-RNNS
Florian Kreyssig
,
C. Zhang
,
P. Woodland
IEEE International Conference on Acoustics…
2018
Corpus ID: 3400307
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition. The strength of the…
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2017
2017
Grounded Recurrent Neural Networks
Ankit Vani
,
Yacine Jernite
,
D. Sontag
arXiv.org
2017
Corpus ID: 12917048
In this work, we present the Grounded Recurrent Neural Network (GRNN), a recurrent neural network architecture for multi-label…
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2016
2016
Sequence to Sequence Training of CTC-RNNs with Partial Windowing
Kyuyeon Hwang
,
Wonyong Sung
International Conference on Machine Learning
2016
Corpus ID: 72659
Connectionist temporal classification (CTC) based supervised sequence training of recurrent neural networks (RNNs) has shown…
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2015
2015
On speaker adaptation of long short-term memory recurrent neural networks
Yajie Miao
,
Florian Metze
Interspeech
2015
Corpus ID: 9348175
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture specializing in modeling long-range temporal…
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2015
2015
Classification of EEG with Recurrent Neural Networks
Alex S. Greaves
2015
Corpus ID: 1694197
3-D perception is a task that is growing in popularity in television and entertainment. Algorithms and innovations that mimic 3-D…
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2015
2015
An Approach to Build an Efficient Intrusion Detection Classifier
Thi-Thu-Huong Le
,
Jihyun Kim
,
Jaehyun Kim
,
Howon Kim
2015
Corpus ID: 113912103
The Intrusion Detection System (IDS) is an effective method to deal with the types of problem in networks. In particular, IDS is…
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2013
2013
Reconstruction of Gene Regulatory Networks from Gene Expression Data Using Decoupled Recurrent Neural Network Model
N. Noman
,
Leon F Palafox
,
H. Iba
2013
Corpus ID: 60108377
In this work we used the decoupled version of the recurrent neural network (RNN) model for gene network inference from gene…
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2008
2008
Efficient System for Speech Recognition using General Regression Neural Network
A. Amrouche
,
J. Rouvaen
2008
Corpus ID: 405571
— In this paper we present an efficient system for independent speaker speech recognition based on neural network approach. The…
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2004
2004
Evaluating the utility of media–dependent FEC in VoIP flows
2004
Corpus ID: 7688154