Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

Foreign direct investment (FDI) ownership decision is one of the most researched topics in the international business literature. However, little is known about the extent to which this knowledge can be applied to emerging-economy multinationals. Building on the institutional, transaction…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…

Les tendances de la participation à la formation des adultes au Canada n’ont pas évolué depuis des décennies, malgré les nouvelles influences économiques qui ont stimulé l’augmentation et la diversification permanente de la formation des employés et malgré les initiatives…

Un objectif principal du génie logiciel est de pouvoir produire des logiciels complexes,
de grande taille et fiables en un temps raisonnable. La technologie orientée objet (OO) a fourni de bons concepts et des techniques de modélisation et de programmation…

This paper aims to clarify an economic mechanism behind the growing dichotomy between geo-economics and the borderless global knowledge economy. The proposed hypothesis is that geo-economic fault-lines, which are the product of the past prejudices of racial, linguistic, and cultural…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

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This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

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