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Early stopping
In machine learning, early stopping is a form of regularization used to avoid overfitting when training a learner with an iterative method, such as…
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13 relations
AdaBoost
Artificial neural network
Boosting (machine learning)
Cross-validation (statistics)
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Software Verification and Validation Laboratory : Simulink Fault Localization : an Iterative Statistical Debugging Approach
Bing Liu
,
Lucia
,
S. Nejati
,
L. Briand
,
Thomas Bruckmann
2015
Corpus ID: 37412286
Debugging Simulink models presents a significant challenge in the embedded industry. In this work, we propose SimFL, a fault…
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Review
2012
Review
2012
The Influence of Unsteady Wind on the Performance and Aerodynamics of Vertical Axis Wind Turbines
L. A. Danao
2012
Corpus ID: 106840814
Interest in small–scale wind turbines as energy sources in the built environment has increased due to the desire of consumers in…
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2012
2012
New Optional Stopping Theorems and Maximal Inequalities on Stochastic Processes
Xinjiao Chen
2012
Corpus ID: 88512219
In this paper, we develop new optional stopping theorems for scenarios where the stopping rules are defined by bounded continuity…
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2010
2010
Using Architecturally Significant Requirements for Guiding System Evolution
Ipek Ozkaya
,
J. A. D. Pace
,
A. Gurfinkel
,
S. Chaki
European Conference on Software Maintenance and…
2010
Corpus ID: 15656887
Rapidly changing technology is one of the key triggers of system evolution. Some examples are: physically relocating a data…
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2010
2010
PARTICLE REFRIGERATOR*
T. Roberts
,
D. Kaplan
2010
Corpus ID: 189803962
We describe an approach that can extend the utility of frictional cooling, originally developed for muon beams, to other…
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2009
2009
PCA Gaussianization for one-class remote sensing image classification
V. Laparra
,
J. Muñoz-Marí
,
Gustau Camps-Valls
,
J. Malo
Remote Sensing
2009
Corpus ID: 46645422
The most successful one-class classification methods are discriminative approaches aimed at separating the class of interest from…
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2006
2006
A Novel Stopping Criterion for Turbo Decoding
Lei Li
,
Qin Wang
,
C. Lu
International Conference on Innovative Computing…
2006
Corpus ID: 5739588
Turbo decoder estimates message values sent from transmitter by computing iteratively to get the maximum posteriori probability…
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2005
2005
Statistical Characteristics of atmospheric phase fluctuations observed by a VLBI system using a beacon wave from a geostationary Satellite
Qing-hui Liu
,
Masanori Nishio
,
+7 authors
Nobuyuki Kawano
IEEE Transactions on Antennas and Propagation
2005
Corpus ID: 21453884
This paper reports the statistical characteristics of phase fluctuations obtained by a very long baseline interferometry, which…
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1999
1999
A Global Convergence Theory for Dennis, El-Alem, and Maciel's Class of Trust-Region Algorithms for Constrained Optimization without Assuming Regularity
M. El-Alem
SIAM Journal on Optimization
1999
Corpus ID: 455589
This work presents a convergence theory for Dennis, El-Alem, and Maciel's class of trust-region-based algorithms for solving the…
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Review
1996
Review
1996
The Implementation of the Stochastic Branch and Bound Method for Applications in River Basin Water Quality Management
K. Haeggloef
1996
Corpus ID: 129322419
Working Papers are interim reports on work of the International Institute for Applied Systems Analysis and have received only…
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