O conhecimento da variabilidade espacial dos atributos do solo que influenciam na produtividade agrícola é fundamental para a implantação da agricultura de precisão. Se o comportamento desses atributos apresentar dependência espacial, recomendase o emprego da geoestatística na descrição de sua…

This paper demonstrates the importance of knowledge for effective
management of outsourcing. Drawing on an empirical study on automakers?
management of supplier involvement in product development in Japan, this paper shows
that the level of own knowledge is critical for…

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…

by Kazunori Yamagata., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2002., Includes bibliographical references (leaves 95-99).

The combination of soil science, forestry, agronomy and biology allowed an analytical comparison of various experimental mixed culture systems. From these studies, a descriptor system was developed which allows to understand the contribution of each plant species to nutrient cycling,…

Nivel monográfico, Mérida, del 30 al 31 de Mayo de 2002

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

Neural network applications in microwave engineering have been reported since the 1990s. Description of artificial neural
networks and their key issues, namely architectures, paradigms, training methods, data sets formation, learning and
generalization errors, learning speed, etc., in the context of…