A greedy algorithm for model selection of tensor decompositions

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6638839 ◽

2013 ◽

Author(s):

Austin J. Brockmeier ◽

Jose C. Principe ◽

Anh Huy Phan ◽

Andrzej Cichocki

Keyword(s):

Model Selection ◽

Greedy Algorithm ◽

Tensor Decompositions ◽

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Deep Learning Model Selection of Suboptimal Complexity

Автоматика и телемеханика ◽

10.31857/s000523100001252-1 ◽

2018 ◽

pp. 129-147

Author(s):

Oleg Bakhteev ◽

◽

Vadim Strijov ◽

Keyword(s):

Deep Learning ◽

Model Selection ◽

Learning Model ◽

Deep Learning Model ◽

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Model selection of extreme learning machine based on latent feature space

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01600 ◽

2013 ◽

Vol 33 (6) ◽

pp. 1600-1603

Author(s):

Wentao MAO ◽

Zhongtang ZHAO ◽

Huanhuan HE

Keyword(s):

Model Selection ◽

Extreme Learning Machine ◽

Feature Space ◽

Learning Machine ◽

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Bayesian MAP model selection of chain event graphs

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2011.03.008 ◽

2011 ◽

Vol 102 (7) ◽

pp. 1152-1165 ◽

Author(s):

G. Freeman ◽

J.Q. Smith

Keyword(s):

Model Selection ◽

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Selection of optimal parameter set using estimability analysis and MSE-based model-selection criterion

International Journal of Advanced Mechatronic Systems ◽

10.1504/ijamechs.2011.042615 ◽

2011 ◽

Vol 3 (3) ◽

pp. 188 ◽

Author(s):

Shaohua Wu ◽

Kevin A.P. McLean ◽

Thomas J. Harris ◽

Kimberley B. McAuley

Keyword(s):

Model Selection ◽

Optimal Parameter ◽

Selection Criterion ◽

Model Selection Criterion ◽

Estimability Analysis ◽

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Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification

Journal of Econometrics ◽

10.1016/j.jeconom.2005.07.027 ◽

2006 ◽

Vol 135 (1-2) ◽

pp. 125-154 ◽

Author(s):

Xiaohong Chen ◽

Yanqin Fan

Keyword(s):

Model Selection ◽

Dynamic Models ◽

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Application of Fuzzy Decision Model Selection of Product in Human Factors Design

Human Aspects of IT for the Aged Population. Healthy and Active Aging - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50249-2_8 ◽

2020 ◽

pp. 101-112

Author(s):

Hsin-Hung Lin ◽

Jui-Hung Cheng

Keyword(s):

Model Selection ◽

Human Factors ◽

Decision Model ◽

Fuzzy Decision ◽

Fuzzy Decision Model ◽

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Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2009.2015672 ◽

2009 ◽

Vol 39 (5) ◽

pp. 1292-1307 ◽

Author(s):

Zongben Xu ◽

Mingwei Dai ◽

Deyu Meng

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector ◽

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Incorrect Model Selection Of AIC Value When Determining Copula Model

The Journal of International Scientific Researches ◽

10.23834/isrjournal.628779 ◽

2019 ◽

pp. 335-343

Author(s):

Mervenur Pala ◽

Fatih SAĞLAM ◽

Çağlar SÖZEN

Keyword(s):

Model Selection ◽

Copula Model ◽

Incorrect Model ◽

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Model Selection of Meat Demand System Using the Rotterdam Model and the Almost Ideal Demand System (AIDS)

Journal of Modern Applied Statistical Methods ◽

10.22237/jmasm/1162355100 ◽

2005 ◽

Vol 5 (2) ◽

pp. 529-537

Author(s):

Maria Divina S. Paraguas ◽

Anton Abdulbasah Kamil

Keyword(s):

Model Selection ◽

Demand System ◽

Almost Ideal Demand System ◽

Meat Demand ◽

Rotterdam Model ◽

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Selection of simplified models: I. Analysis of model-selection criteria using mean-squared error

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.20406 ◽

2010 ◽

Vol 89 (1) ◽

pp. 148-158 ◽

Author(s):

Shaohua Wu ◽

K. B. McAuley ◽

T. J. Harris

Keyword(s):

Model Selection ◽

Selection Criteria ◽

Mean Squared Error ◽

Simplified Models ◽

Model Selection Criteria ◽

Squared Error ◽

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