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Loss function
Known as:
Zero-one loss
, Loss
, Risk function
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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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Related topics
Related topics
50 relations
Adaptive filter
Backpropagation
Bootstrapping (statistics)
Constrained optimization
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Coordinated linear beamforming in downlink multi-cell wireless networks
L. Venturino
,
N. Prasad
,
Xiaodong Wang
Asilomar Conference on Signals, Systems and…
2010
Corpus ID: 206823757
We consider the problem of co-channel interference mitigation in a downlink multi-cell wireless network. Assuming that each…
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Highly Cited
2008
Highly Cited
2008
Joint Power and Channel Allocation for Cognitive Radios
F. Digham
IEEE Wireless Communications and Networking…
2008
Corpus ID: 17202060
Spectrum scarcity is the major challenge facing all parties working in the telecommunications industry. As recently shown, the…
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Highly Cited
2007
Highly Cited
2007
Sliding-Mode Neuro-Controller for Uncertain Systems
Y. Yildiz
,
A. Sabanoviç
,
K. Abidi
IEEE transactions on industrial electronics…
2007
Corpus ID: 11320358
In this paper, a method that allows for the merger of the good features of sliding-mode control and neural network (NN) design is…
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Highly Cited
2000
Highly Cited
2000
Training Hidden Markov Models with Multiple Observations-A Combinatorial Method
Xiaolin Li
,
M. Parizeau
,
R. Plamondon
IEEE Transactions on Pattern Analysis and Machine…
2000
Corpus ID: 13850496
Hidden Markov models (HMM) are stochastic models capable of statistical learning and classification. They have been applied in…
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Highly Cited
1999
Highly Cited
1999
Introduction to Model Based Predictive Control
E. Camacho
,
C. Bordons
1999
Corpus ID: 61979223
Model (Based) Predictive Control (MBPC or MPC) originated in the late seventies and has developed considerably since then. The…
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Highly Cited
1995
Highly Cited
1995
Evolutionary identification of cloth animation models
J. Louchet
,
Xavier Provot
,
David Crochemore
1995
Corpus ID: 15206501
This paper presents an application of evolutionary genetic techniques to the identification of internal parameters of a mass…
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Highly Cited
1994
Highly Cited
1994
Polygonal approximation using a competitive Hopfield neural network
P. Chung
,
Ching-Tsorng Tsai
,
E. Chen
,
Yung-Nien Sun
Pattern Recognition
1994
Corpus ID: 5873569
Highly Cited
1989
Highly Cited
1989
A directed search method for test generation using a concurrent simulator
V. Agrawal
,
K. Cheng
,
P. Agrawal
IEEE Trans. Comput. Aided Des. Integr. Circuits…
1989
Corpus ID: 20404148
A description is given of the application of a concurrent fault simulator to automatic test vector generation. As faults are…
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Highly Cited
1986
Highly Cited
1986
On the Accurate Determination of Search Directions for Simple Differentiable Penalty Functions
N. Gould
1986
Corpus ID: 36930925
On presente des methodes fiables de calcul d'une direction de recherche utilisee dans les methodes sequentielles de resolution…
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Highly Cited
1982
Highly Cited
1982
Some properties of the output error method
T. Söderström
,
P. Stoica
at - Automatisierungstechnik
1982
Corpus ID: 5349556
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