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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
2015
Highly Cited
2015
Fuzzy Clustering with a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images
D. Subbarao
2015
Corpus ID: 18598915
In this paper, we put forward a novel approach for change detection in synthetic aperture radar (SAR) images. The approach…
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2014
2014
Data mining for decision making in engineering optimal design
Amir Mosavi
2014
Corpus ID: 55508035
Often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in…
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2010
2010
History mechanism supported differential evolution for chess evaluation function tuning
Borko Bošković
,
J. Brest
,
A. Zamuda
,
S. Greiner
,
V. Zumer
Soft Computing - A Fusion of Foundations…
2010
Corpus ID: 37230362
This paper presents a differential evolution (DE) based approach to chess evaluation function tuning. DE with opposition-based…
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2006
2006
Implicit functions from topological vector spaces to Fréchet spaces in the presence of metric estimates
Helge Glöckner
2006
Corpus ID: 14142830
We prove an implicit function theorem for Keller C^k_c-maps from arbitrary real or complex topological vector spaces to Frechet…
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2004
2004
Embedded Parallelization Approach for Optimization in Aerodynamic Design
S. Peigin
,
B. Epstein
Journal of Supercomputing
2004
Corpus ID: 23150063
A new efficient parallelization strategy for optimization of aerodynamic shapes is proposed. The optimization method employs a…
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2004
2004
Modeling intramedia and intermedia relationships in multimedia network analysis through multiple timescale statistics
A. Lombardo
,
G. Morabito
,
G. Schembra
IEEE transactions on multimedia
2004
Corpus ID: 6663924
In this paper, a hierarchical paradigm modeling both the intramedia and intermedia time relationships of multimedia sources is…
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2000
2000
Unbiased blind adaptive channel identification and equalization
D. Gesbert
,
P. Duhamel
IEEE Transactions on Signal Processing
2000
Corpus ID: 34330
The blind adaptive equalization and identification of communication channels is a problem of important current theoretical and…
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2000
2000
Adaptive Margin Support Vector Machines
J. Weston
,
R. Herbrich
2000
Corpus ID: 15318722
In this chapter we present a new learning algorithm, Leave{One{Out (LOO{) SVMs and its generalization Adaptive Margin (AM{) SVMs…
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1997
1997
Approximate Smoothing Spline Methods for Large DataSets in the Binary
Dong Xiang
,
G. Wahba
1997
Corpus ID: 14944393
We consider the use of smoothing splines in generalized additive models with binary responses in the large data set situation…
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1981
1981
A COMBINED PARKING AND TRAFFIC ASSIGNMENT MODEL
C. C. Nourht
,
T. Y. El-Reedy
,
H. Ismail
1981
Corpus ID: 166580522
Parking problems seriously affect vehicle and pedestrian movements in the central business districts of large and heavily…
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