In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate time series and remote sensing images. Computational models to filter,…

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Increasingly, knowledge-based tasks such as new product development and market research are being conducted by geographically dispersed teams. Early evidence from knowledge-based view of the firm and geographically dispersed work literatures suggests that at least four kinds of knowledge gaps---transactive…

For 20 years, and more intensively during the last decade, indigenous knowledge has challenged the regime of intellectual property. If this field of law has been, in the past, challenged by new technology, it is now, with the problematic of…

En: Proceedings of the 35th Hawaii International Conference on System Sciences, 2002

Knowledge-based Cascade-correlation is a neural network algorithm that combines inductive learning and knowledge transfer (Shultz & Rivest, 2001). In the present thesis, this algorithm is tested on several real-world and artificial problems, and extended in several ways. The first extension…

2008

In order to close the gap that exists between the research areas of mathematics anxiety and mathematics learning, this study examined cognitive, metacognitive, and affective aspects of mathematics anxiety as well as students' mathematics performance and competence. One hundred and…

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Intellectual capital, as opposed to traditional conceptions of intellectual property, is neither as simple to define nor as straightforward to protect and regulate. As companies in the financial services sector attempt the efficient management of increasingly voluminous and strategically important…