Cross entropy

Known as: Cross-entropy, Log loss, Minxent 
In information theory, the cross entropy between two probability distributions and over the same underlying set of events measures the average number… (More)
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Highly Cited
2013
Highly Cited
2013
Article history: Received 19 October 2011 Received in revised form 8 March 2013 Accepted 4 July 2013 Available online 23 July… (More)
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Highly Cited
2012
Highly Cited
2012
We introduce the concepts of entropy and cross-entropy for hesitant fuzzy information, and discuss their desirable properties… (More)
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Highly Cited
2012
Highly Cited
2012
Article history: Received 18 August 2009 Received in revised form 12 November 2010 Accepted 7 December 2010 Available online 22… (More)
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Highly Cited
2006
Highly Cited
2006
The cross-entropy method is an efficient and general optimization algorithm. However, its applicability in reinforcement learning… (More)
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Highly Cited
2004
Highly Cited
2004
The cross-entropy method is a recent versatile Monte Carlo technique. This article provides a brief introduction to the cross… (More)
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Highly Cited
2004
Highly Cited
2004
In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this… (More)
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Highly Cited
1998
Highly Cited
1998
A fast iterative method is derived for minimum cross entropy thresholding using a one-point iteration scheme. Simulations… (More)
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Highly Cited
1996
Highly Cited
1996
-Thresholding is a common and easily implemented form of image segmentation. Many methods of automatic threshold selection based… (More)
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Highly Cited
1993
Highly Cited
1993
The related problems of minimizing the functionals F(x)=alphaKL(y,Px)+(1-alpha)KL(p,x) and G(x)=alphaKL(Px,y)+(1-alpha)KL(x,p… (More)
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Highly Cited
1980
Highly Cited
1980
Absrmez-Jaynes’s principle of m@mum entropy and KuUba&‘s priodple of min imum cromentropy (mhlmum dire&d dfvergenoe) are shown… (More)
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