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Loss function

Known as: Zero-one loss, Loss, Risk function 
In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2011
Review
2011
This thesis is concerned with the study of near-planetary rotation period oscillations in Saturn’s magnetic field. Similar… 
Highly Cited
2009
Highly Cited
2009
We present a class of nonlinear (polynomial) models that are discriminatively trained to directly map from the word content in a… 
2007
2007
Trigram language models are compressed using a Golomb coding method inspired by the original Unix spell program. Compression… 
Highly Cited
2002
Highly Cited
2002
A gradient-based optimization technique along with a new definition of cost function is applied to the CAD of coupled resonator… 
2000
2000
A large class of games based on spin models is analysed. For these games, the long-time gain can be calculated exactly. It is… 
Highly Cited
1998
Highly Cited
1998
We address the deconvolution of MIMO linear mixtures. The approach is based on the construction of a hierarchical family of… 
Highly Cited
1997
Highly Cited
1997
Equalization and estimation of the matrix impulse response function of multiple-input multiple-output (MIMO) digital… 
Highly Cited
1988
Highly Cited
1988
The application of a concurrent fault simulator to automatic test vector generation is described. As faults are simulated in the… 
Highly Cited
1981
Highly Cited
1981
Three versions of the multiple attribute (objective) decisionmaking problem with additive utilities are considered. The versions… 
1981
1981
The effects of feral pigs on the lambing performance of Merinos was studied at Nyngan, New South Wales. Ewes lambed in two…