and quality of products, damaging the processes of learning, cooperation and innovation, and consequently the development …

proximity enhances innovation, especially the number of product innovations. …

The applicability of learning and experience curves for predicting future costs of solar technologies is assessed, and … systems manufacture are discussed, and procedures for using learning and experience curves to predict costs are outlined … learning and aggregated cost curves for these surrogates estimated. If the surrogate learning curves apply, they can be used to …

hope that this analysis will facilitate learning across states and help state fund managers develop more effective and more …

This report presents recommendations relative to the use of expert systems and machine learning techniques by the … machine learning techniques were also reviewed. Two recommendations are given: (1) BLS should use the expert system shell … study to evaluate the potential of machine learning techniques to create and maintain the approximately 350 ELI …

machine learning. So far, however, only little work has been done to quantify the efficiency of this tool for non … vector machines that use the pinball loss. Here, it turns out that we obtain learning rates which are optimal in a min …

We describe the use of machine learning methods in the analysis of spatial soil fertility, soil physical …

experience. In places with less developed organized wholesale market DR programs, utilities are learning how to create more … industry and led to product and service innovation. …

thirty-six participants engaged in a learning session and structured input exercises resulting in 2,768 usable comments …