Loss function

Known as: Zero-one loss, Risk function, 0-1 loss function 
In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or… (More)
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Topic mentions per year

1951-2018
02000400019512017

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Review
2016
Review
2016
Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of… (More)
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Highly Cited
2016
Highly Cited
2016
We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such… (More)
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Highly Cited
2016
Highly Cited
2016
Person re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of… (More)
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Highly Cited
2005
Highly Cited
2005
It has long been customary to measure the adequacy of an estimator by the smallness of its mean squared error. The least squares… (More)
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Highly Cited
2004
Highly Cited
2004
In this letter, we investigate the impact of choosing different loss functions from the viewpoint of statistical learning theory… (More)
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Highly Cited
2000
Highly Cited
2000
  • Frank Schorfheide, Yongsung Chang
  • 2000
In this paper we propose a Bayesian econometric procedure for the evaluation and comparison of DSGE models. Unlike in many… (More)
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Highly Cited
1999
Highly Cited
1999
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1998
Highly Cited
1998
We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss… (More)
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Highly Cited
1996
Highly Cited
1996
We present a bias variance decomposition of expected misclassi cation rate the most commonly used loss function in supervised… (More)
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Highly Cited
1981
Highly Cited
1981
 
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