Sentence examples for experimentation feedback from inspiring English sources

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Creative Freedom Olympus PEN series cameras put you in the director's chair, offering a new level of freedom to the creative shooting experience and enabling instant experimentation, feedback and gratification.

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Virtual reality environments offer a promising platform for delivering weight maintenance interventions as they provide rapid feedback, learner experimentation, real-time personalized task selection and exploration.

AB contributed to the intellectual framework of the paper and provided feedback on experimentation and writing of the manuscript.

At the TREC conference there has been much experimentation with pseudo-relevance feedback in which the assumption is made that the top n ranked documents are relevant and then proceeding as though a user had judged each of these n documents to be relevant.

And if the lean startup trend – favouring experimentation over elaborate planning, customer feedback over intuition, and iterative design over traditional big design development – has taught us anything, it is that a successful startup is one that solves a real problem, and a company is successful when it understands the problems and needs of it's customers.

The lean startup framework favors experimentation over elaborate planning, customer feedback over intuition, and iterative design over traditional "big design up front" development.

Our integrative approach has applicability to other complex macroecological systems controlled by numerous feedbacks where controlled experimentation is impossible.

During the previous experimentation, the lack of the fast feedback component was achieved by increasing R1 in the range of several tenths of mega ohms (MΩ) and decreasing C in the range of picofarads (pF).

In particular, experimentation, responding to low-performers, the existence of feedback loops, and motivation to make improvements enhance the likelihood of innovative activity.

The project steering committee devised control surveys, collecting information every three months to monitor the experimentation, the involvement of users, their training and feedback, system prototype faults, and waiting list performance.

More experimentation of the techniques in an industrial environment and feedback from software developers is needed to support the approaches.

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