inadequate time for learning, lack of player knowledge of key probabilistic concepts, or insufficient player motivation …

The theory and practice that embodies "learning organizations" can be applied to developing and implementing effective … natural resource policy and management. A learning organization is a group of people who are continually enhancing their … capacity to create the results they want. At the heart of learning organizations is systems thinking. This paper applies the …

class of sparsity based regularization algorithms. More precisely, we study the minimization of learning functionals that … become popular in machine learning since they allow to enforce various kinds of sparsity properties in the solution … regularization (and several variants), multiple kernel learning and multi-task learning. Finally, some features of the proposed …

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 …