Skip to search formSkip to main contentSkip to account menu

Recursion

Known as: Recursionism, Recursive structure, Recursiveness 
Recursion occurs when a thing is defined in terms of itself or of its type. Recursion is used in a variety of disciplines ranging from linguistics to… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Graph Neural Networks (GNNs) are an effective framework for representation learning of graphs. GNNs follow a neighborhood… 
Highly Cited
2017
Highly Cited
2017
Few prior works study deep learning on point sets. PointNet by Qi et al. is a pioneer in this direction. However, by design… 
Highly Cited
2014
Highly Cited
2014
Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The… 
Highly Cited
2011
Highly Cited
2011
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… 
Highly Cited
2006
Highly Cited
2006
We prove that the modal mu-calculus model-checking problem for (ranked and ordered) node-labelled trees that are generated by… 
Highly Cited
2005
Highly Cited
2005
This note considers the problem of information consensus among multiple agents in the presence of limited and unreliable… 
Highly Cited
2003
Highly Cited
2003
Highly Cited
2002
Highly Cited
2002
A general non-parametric technique is proposed for the analysis of a complex multimodal feature space and to delineate… 
Highly Cited
1997
Highly Cited
1997
A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means… 
Highly Cited
1992
Highly Cited
1992
We give a recursion-theoretic characterization of FP which describes polynomial time computation independently of any externally…