Sentence examples for exploit the learning from inspiring English sources

Financial considerations were also added with the aim to both enhance the specialists' competence and the economic consciousness through focus groups, and exploit the learning opportunities by comparing best practices.

The search is regularized via a Markov network to exploit the learned spatial relationships between landmarks.

With BPS exploiting the learning curve effects, the decision model suggests higher BPS levels for higher learning curve parameters.

What these studies do not do is truly exploit the feature learning ability of deep learning and use custom crafted features downsample and focus on specific properties of certain sounds.

This paper, based on extensive literature review and survey of selected programs, shares the experience and lessons of solar PV programs for rural electrification in South Asia – both at the regional and country levels – and also presents a comparative analysis to exploit the cross learning potential.

In addition, we will exploit the experiences learned in this study in order to design specific predictors for other families of proteins interacting with RNA.

In addition, we will exploit the experiences learned in this study in order to design binding-mechanism concerned predictors for other families of proteins interacting with DNA.

Even though many studies have analyzed the log data from MONSAKUN, few studies have used visualization to exploit the potential of learning activities in that environment.

We plan to exploit the context-dependent learning interface that we proposed in [18] as a high-level imitation approach to extract and exploit the most relevant cost functions that could explain the observation of octopus movements.

We concluded that, to fully exploit the potential of learning with Avida-ED, students should work with the software in a setting with a much lower student teacher ratio, for a period longer than a single class meeting, and perform multiple exercises (including experiments of their own design).

To tackle the problem of noisy and incomplete prior networks, we exploit the duality between learning the associations and refining the prior networks to achieve smoother regularization.