A test of a statistical learning theory model for two-choice behavior with double stimulus events.

Norman H. Anderson; David A. Grant

doi:10.1037/h0044347

A test of a statistical learning theory model for two-choice behavior with double stimulus events.

Journal of Experimental Psychology ◽

10.1037/h0044347 ◽

1957 ◽

Vol 54 (5) ◽

pp. 305-317 ◽

Cited By ~ 11

Author(s):

Norman H. Anderson ◽

David A. Grant

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Choice Behavior ◽

Statistical Learning Theory ◽

Theory Model

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Statistical learning theory, model identification and system information content

International Journal of General Systems ◽

10.1080/03081070290018056 ◽

2002 ◽

Vol 31 (4) ◽

pp. 343-357 ◽

Cited By ~ 2

Author(s):

A.A. Guergachi ◽

G.G. Patry

Keyword(s):

Information Content ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Model Identification ◽

Theory Model ◽

System Information

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Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint

Revue d intelligence artificielle ◽

10.3166/ria.20.805-827 ◽

2006 ◽

Vol 20 (6) ◽

pp. 805-827 ◽

Cited By ~ 7

Author(s):

Sylvain Gelly ◽

Olivier Teytaud ◽

Nicolas Bredeche ◽

Marc Schoenauer

Keyword(s):

Genetic Programming ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Universal Consistency ◽

Theoretical Considerations

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Practical use of statistical learning theory for modeling freezing point depression of electrolyte solutions: LSSVM model

Journal of Natural Gas Science and Engineering ◽

10.1016/j.jngse.2014.06.020 ◽

2014 ◽

Vol 20 ◽

pp. 414-421 ◽

Cited By ~ 32

Author(s):

Hamidreza Yarveicy ◽

Ali Kariman Moghaddam ◽

Mohammad M. Ghiasi

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Freezing Point ◽

Statistical Learning Theory ◽

Electrolyte Solutions ◽

Freezing Point Depression

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Tuning of neural networks based on genetic algorithm and statistical learning theory

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) ◽

10.1109/icmlc.2004.1378565 ◽

2005 ◽

Author(s):

En-hui Zheng ◽

Min Yang

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory

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Statistical Learning Theory

Technometrics ◽

10.1080/00401706.1999.10485951 ◽

1999 ◽

Vol 41 (4) ◽

pp. 377-378 ◽

Cited By ~ 3

Author(s):

Yuhai Wu

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory

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Application of statistical learning theory to predict corrosion rate of injecting water pipeline

9th IEEE International Conference on Cognitive Informatics (ICCI'10) ◽

10.1109/coginf.2010.5599754 ◽

2010 ◽

Cited By ~ 1

Author(s):

Huang Zhen ◽

Liu Hong ◽

Fan Mujiao ◽

Xu Chunbi

Keyword(s):

Corrosion Rate ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Water Pipeline

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Multiparameter Regularization for Construction of Extrapolating Estimators in Statistical Learning Theory

Multiscale Signal Analysis and Modeling ◽

10.1007/978-1-4614-4145-8_15 ◽

2012 ◽

pp. 347-366 ◽

Cited By ~ 2

Author(s):

Shuai Lu ◽

Sergiy Pereverzyev ◽

Sivananthan Sampath

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory

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Statistical Learning Theory: A Pack-based Strategy for Uncertain Feasibility and Optimization Problems

Lecture Notes in Control and Information Sciences - Recent Advances in Learning and Control ◽

10.1007/978-1-84800-155-8_1 ◽

2007 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Teodoro Alamo ◽

Roberto Tempo ◽

Eduardo F.

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Optimization Problems ◽

Statistical Learning Theory

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Early damage warning of railway bridge in time-domain based on statistical learning theory

Bridge Maintenance, Safety, Management and Life Extension ◽

10.1201/b17063-61 ◽

2014 ◽

pp. 437-444

Author(s):

D Shan ◽

Z Huang ◽

I Khan ◽

C Fu

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Time Domain ◽

Statistical Learning Theory ◽

Railway Bridge ◽

Early Damage

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Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

JMIR Medical Informatics ◽

10.2196/12702 ◽

2019 ◽

Vol 7 (2) ◽

pp. e12702 ◽

Cited By ~ 4

Author(s):

Fida K Dankar ◽

Nisha Madathil ◽

Samar K Dankar ◽

Sabri Boughorbel

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Privacy Preserving ◽

Biomedical Data

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