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Backpropagation through structure
Backpropagation Through Structure (BPTS) is a gradient-based technique for training recursive neural nets (a superset of recurrent neural nets) and…
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3 relations
Backpropagation through time
Recurrent neural network
Recursive neural network
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Improvement of panchromatic IKONOS image classification based on structural neural network
Weibao Zou
IEEE Geoscience and Remote Sensing Symposium
2013
Corpus ID: 39609746
Remote sensing image classification plays an important role in urban studies. This work presents a method for panchromatic image…
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2013
2013
On the correspondence between neural folding architectures and tree automata
A. Küchler
2013
Corpus ID: 15920869
The folding architecture together with adequate supervised training algorithms is a special recurrent neural network model…
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2002
2002
Robust learning in adaptive processing of data structures for tree representation based image classification
Siu-Yeung Cho
,
Z. Chi
,
Zhiyong Wang
,
W. Siu
Object recognition supported by user interaction…
2002
Corpus ID: 16719990
In this paper, novel robust learning in adaptive processing of data structures for tree representation based image classification…
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1995
1995
Fakult¨at F ¨ Ur Informatik Der Technischen Universität M ¨ Unchen Lehrstuhl Viii Forschungsgruppe Automated Reasoning Learning Task-dependent Distributed Representations by Backpropagation through…
Christoph Goller
,
Tu M Germany
,
Andreas K Uchler
1995
Corpus ID: 266150311
b b b b b b b b b b b b b b b b b b b Abstract While neural networks are very successfully applied to the processing of xed…
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