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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

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Highly Cited
2010
Highly Cited
2010
We consider the problem of co-channel interference mitigation in a downlink multi-cell wireless network. Assuming that each… 
Highly Cited
2008
Highly Cited
2008
Spectrum scarcity is the major challenge facing all parties working in the telecommunications industry. As recently shown, the… 
Highly Cited
2007
Highly Cited
2007
In this paper, a method that allows for the merger of the good features of sliding-mode control and neural network (NN) design is… 
Highly Cited
2000
Highly Cited
2000
Hidden Markov models (HMM) are stochastic models capable of statistical learning and classification. They have been applied in… 
Highly Cited
1999
Highly Cited
1999
Model (Based) Predictive Control (MBPC or MPC) originated in the late seventies and has developed considerably since then. The… 
Highly Cited
1995
Highly Cited
1995
This paper presents an application of evolutionary genetic techniques to the identification of internal parameters of a mass… 
Highly Cited
1989
Highly Cited
1989
A description is given of the application of a concurrent fault simulator to automatic test vector generation. As faults are… 
Highly Cited
1986
Highly Cited
1986
On presente des methodes fiables de calcul d'une direction de recherche utilisee dans les methodes sequentielles de resolution… 
Highly Cited
1982
Highly Cited
1982