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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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Entity matching (EM) finds data instances that refer to the same real-world entity. In this paper we examine applying deep… Expand
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Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2018
Review
2018
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of… Expand
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Review
2018
Review
2018
Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local… Expand
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Review
2017
Review
2017
Financial portfolio management is the process of constant redistribution of a fund into different financial products. This paper… Expand
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Review
2017
Review
2017
In this article, we present a survey of recent advances in passive human behavior recognition in indoor areas using the channel… Expand
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Review
2016
Review
2016
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… Expand
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Highly Cited
1997
Highly Cited
1997
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network… Expand
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