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Inter-Organizational Knowledge Conversion and Innovative Capacity in Cooperative Networks
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Mapping the Contemporary Studies on Alliances and Strategic Networks
(FUND ESCOLA COMERCIO ALVARES PENTEADO-FECAP, 2009)
The competition among the companies depends on the velocity and efficience they can create and commercialize knowledge in a timely and cost-efficient manner. In this context, collaboration emerges as a reaction to the ...
Management of the appropriate agricultural biotechnology for small producers: Bolivia case study
(Pontificia Universidad Católica de Valparaíso, 2006)
ECONOMIC AND SOCIAL ASPECTS OF RECYCLING: A STUDY APPLIED ON A COOPERATIVE OF COLLECTORS IN VITORIA DA CONQUIST-BA
(Univ Estadual Paulista Julio Mesquita Filho, 2017-01-01)
Given the complexity of waste problem nowadays, recycling has gained wide visibilityin social and environmental discussions. The argument is that there are numerous benefits from the recycling activity. Despite that, it ...
An Adaptive Transmission Scheme for Amplify-and-Forward Relaying Networks
(2017-01-01)
In this paper, an adaptive scheme for amplify-and-forward relaying networks is proposed, which selects a certain transmission mode for each communication process. Depending on the instantaneous channel conditions, one of ...
An Adaptive Transmission Scheme For Cognitive Decode-and-forward Relaying Networks: Half Duplex, Full Duplex, Or No Cooperation
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2016)
Typology of companies networks for competitive assessment: an application in higher education institutions
(2014)
Taking into account the changes in the market scenario by virtue of globalization, Institutes of Higher Education (IES) as well as other organizations seek their competitive stability. For that reason, it is up to organizations ...
Geographical Imbalances And Divides In The Scientific Production Of Climate Change Knowledge
(ELSEVIER SCI LTDOXFORD, 2015)
Network-based stochastic semisupervised learning
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
Semisupervised learning is a machine learning approach that is able to employ both labeled and unlabeled samples in the training process. In this paper, we propose a semisupervised data classification model based on a ...