87 search results - page 2 / 18 » A Comparison between Recursive Neural Networks and Graph Neu... |
WIRN
2005
Springer
13 years 10 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
NCI
2004
13 years 6 months ago
2004
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Treatment of general structured information by neural networks is an emerging research topic. Here we show how representations for graphs preserving all the information can be devi...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...