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Software propagation

Known as: Propagation 
Software propagation is a general term for the copying & duplication of software, and was explicitly defined in version 3 of the GNU General… 
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Related topics

Related topics

2 relations
Free software license

Broader (1)

Software distribution

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Densely Connected Convolutional Networks
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they… 
Review
2007
Review
2007
Consensus and Cooperation in Networked Multi-Agent Systems
This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an… 
Highly Cited
2004
Highly Cited
2004
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in… 
Highly Cited
1999
Highly Cited
1999
Cognitive radio: making software radios more personal
Software radios are emerging as platforms for multiband multimode personal communications systems. Radio etiquette is the set of… 
Review
1998
Review
1998
Gradient-based learning applied to document recognition
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… 
Review
1996
Review
1996
Wireless communications - principles and practice
From the Publisher: The indispensable guide to wireless communications—now fully revised and updated! Wireless Communications… 
Highly Cited
1989
Highly Cited
1989
Probabilistic reasoning in intelligent systems - networks of plausible inference
  • J. Pearl
  • Morgan Kaufmann series in representation and…
  • 1989
  • Corpus ID: 32583695
From the Publisher: Probabilistic Reasoning in Intelligent Systems is a complete andaccessible account of the theoretical… 
Highly Cited
1986
Highly Cited
1986
Learning representations by back-propagating errors
We describe a new learning procedure, back-propagation, for networks of neurone-like units. The procedure repeatedly adjusts the… 
Highly Cited
1986
Highly Cited
1986
Learning internal representations by error propagation
Review
1974
Review
1974
Microwave Mobile Communications
From the Publisher: IEEE Press is pleased to bring back into print this definitive text and reference covering all aspects of… 
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