Results 11 to 20 of about 169,282 (318)
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Features, logits, and labels are the three primary data when a sample passes through a deep neural network. Feature perturbation and label perturbation receive increasing attention in recent years.
Wu, Ou +3 more
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The logit-response dynamics [PDF]
Games and Economic Behavior, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alós-Ferrer, Carlos, Netzer, Nick
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Acta Scientiarum: Technology, 2010 Este trabalho descreve a aplicação do modelo CAL3QHC para estimar a dispersão das emissões de CO originadas de veículos leves na região central da cidade de Maringá, Estado do Paraná.
Ed Pinheiro Lima +2 more
doaj +1 more source
THE EFFECT OF ADOPTION OF IMPROVED VARIETIES ON RICE PRODUCTIVITY IN THE NORTHERN REGION OF GHANA [PDF]
Review of Agricultural and Applied Economics, 2022 Research background: Adoption of improved rice varieties remain paramount in fighting food and nutrition insecurity across sub-Sahara Africa (SSA).
Clement Y. LAMPTEY +4 more
doaj +1 more source
Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects [PDF]
, 2008 Conditional logit, Finite mixture, Identifiability, Multinomial logit, Unobserved heterogeneity,
Bettina Grün +3 more
core +1 more source
Effective Factors on The Internet Usage of Post Graduate and PhD Students in Western Universities of The Country (Uremia University, Kurdistan University, Razi University of Kermanshah, Bu Ali University of Hamedan) [PDF]
بازیابی دانش و نظامهای معنایی, 2017 The aim of this paper is to investigate the effective factors on internet use in postgraduate and PhD students in universities of west and northwest of Iran (Uremia, Kurdistan, Razi University of Kermanshah and Bu Ali University of Hamedan).
Salah Salimian, Kiumars Shahbazi
doaj +1 more source
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022 Semantic-descriptor-based Generalized Zero-Shot Learning (GZSL) poses challenges in recognizing novel classes in the test phase. The development of generative models enables current GZSL techniques to probe further into the semantic-visual link, culminating in a two-stage form that includes a generator and a classifier.
Chen, D, Shen, Y, Zhang, H, Torr, PHS
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Testing the Sequential Logit Model Against the Nested Logit Model [PDF]
SSRN Electronic Journal, 2007 In this paper, we show that the sequential logit (SL) model, in which a choice process is characterized as a sequence of independent multinomial logit models, is a limiting case of the nested logit (NL) model. For testing the SL model against the NL model, we propose Wald, likelihood ratio and Lagrange multiplier tests after suitably reparameterizing ...
DAISUKE NAGAKURA, MASAHITO KOBAYASHI
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On the equivalence of location choice models: Conditional logit, nested logit and Poisson [PDF]
Journal of Urban Economics, 2009 It is well understood that the two most popular empirical models of location choice-conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions.
Schmidheiny, Kurt, Brülhart, Marius
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Trust – the Intangible Asset of Policyholder Behavior on Insurance Market
Scientific Annals of Economics and Business, 2016 Our analysis aims to identify the typology of consumers’ behavior on insurance market. The initial sample consisted of 1579 individuals who were randomly selected by Metro Media Transilvania (MMT) with the Computer-Assisted Telephonic Interview (CATI ...
Mureşan Gabriela-Mihaela +1 more
doaj +1 more source