Results 241 to 250 of about 1,026,236 (294)
Linking Individual Performance to Density-Dependent Population Dynamics to Understand Temperature-Mediated Genotype Coexistence. [PDF]
Ecol LettBruijning M +9 more
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The crisis we are not naming: The psychology of capitalism. [PDF]
Br J Soc PsycholBettache K.
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Efficiency and determinants of science and technology investment in Chinese competitive sports: a provincial DEA-Tobit analysis. [PDF]
Front Sports Act LivingXia R, Lu S, Zhao L.
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Population Structure Plays a Key Role in Community Stability. [PDF]
Ecol LettGiménez-Romero À +3 more
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Beyond the 1:1 Ligand–Protein Paradigm: An In Silico Assay for Competitive Ligand Binding
Cardenas VB +3 more
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Dynamic R & D Competition [PDF]
The Economic Journal, 1987 The authors study a simple, two-stage, stochastic patent race involving two firms. They examine the behavior of the participants as they gain the lead or fall behind in the race. The authors find that the leader engages in RD (2) a policy of issuing patents for intermediate research results; and (3) the effects of research joint ventures, whereby the ...
Grossman, Gene M, Shapiro, Carl
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Dynamic competition and ambidexterity
2013Item does not contain ...
Kranenburg, H.L. van, Ziggers, G.W.
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Asymmetric competition and floater dynamics
Ecology, 2020AbstractIn territorial species, nonterritorial floaters may be critical to population dynamics. One theoretical framework, based on the assumption that floating is a strategic decision to forego reproduction, predicts that selection maintains an abundant floater population even if low‐quality territories are available. However, existing models make two
Erik G, Noonburg, Rindy C, Anderson
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2006
In this paper, a new competitive learning algorithm called Dynamic Competitive Learning (DCL) is presented. DCL is a supervised learning method that dynamically generates output neurons and initializes automatically the weight vectors from training patterns. It introduces a new parameter called LOG (Limit of Grade) to decide whether an output neuron is
Seongwon Cho, Jaemin Kim, Sun-Tae Chung
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In this paper, a new competitive learning algorithm called Dynamic Competitive Learning (DCL) is presented. DCL is a supervised learning method that dynamically generates output neurons and initializes automatically the weight vectors from training patterns. It introduces a new parameter called LOG (Limit of Grade) to decide whether an output neuron is
Seongwon Cho, Jaemin Kim, Sun-Tae Chung
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The dynamics of international competitiveness
Weltwirtschaftliches Archiv, 1993The Dynamics of International Competitiveness. — This paper focuses on the determinants of international competitiveness over the seventies and eighties. The theoretical framework adopted here is based on a “technology-gap” account of trade flows. The econometric analysis relies on a dynamic model estimated by pooling time-series across countries.
G. AMENDOLA, G. DOSI, PAPAGNI, Erasmo
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