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Classification Research Group

Known as: CRG 
The Classification Research Group (CRG) was a significant contributor to classification research and theory in the field of library and information… 
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Related topics

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8 relations
Document classificationFaceted classificationIntegrative levelJason Farradane

Broader (1)

Information science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Game-theoretic modeling and analysis of relay selection in cooperative wireless networks
In this paper, distributed single relay selection in cooperative wireless networks is modeled as a Chinese restaurant game CRG… 
2015
2015
Image set representation and classification with covariate-relation graph
Recently, image set representation and classification is an important problem in computer vision and pattern recognition area. It… 
2013
2013
Applying resource selection functions at multiple scales to prioritize habitat use by the endangered Cross River gorilla
The critically endangered Cross River gorilla is a patchily distributed taxon for which habitat selection has been modelled only… 
2010
2010
The rise and fall of turbulent fountains: a new model for improved quantitative predictions
Turbulent fountains are of major interest for many natural phenomena and industrial applications, and can be considered as one of… 
2008
2008
Dynamic Simulation of a 1.8K Refrigeration Unit for the LHC
A new simulation toolkit has been successfully developed at the European Organization for Nuclear Research (CERN) and applied to… 
2006
2006
Study of the textural evolution in Ti-rich NiTi using synchrotron radiation
Highly Cited
1999
Highly Cited
1999
Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption
Abstract.A class of affine-scaling interior-point methods for bound constrained optimization problems is introduced which are… 
Highly Cited
1999
Highly Cited
1999
Steering of a class of nonholonomic systems with drift terms
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
1983
1983
Cumulant renormalisation group and its application to the incipient infinite cluster in percolation
The authors introduce the cumulant method into the context of position-space renormalisation group. The advantage of this method… 
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