Sentence examples for efficient elicitation from inspiring English sources

David Lee, Ashish Goel, Tanja Aitamurto and Hélène Landemore's paper, "Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions," received a Notable Paper Award at HCOMP 2014, the second Association for the Advancement of Artificial Intelligenceconference on Human Computation and Crowdsourcing.

Lastly, the context specific attributes and attribute-levels must be framed in a manner that allows for efficient elicitation and analysis of preferences, according to random utility theory, which is the theoretical foundation of DCE [ 8].

We observed that intracellular expressed antigens were more efficient in elicitation of humoral and cellular immune responses than constitutively expressed antigens.

Many DNA vaccines have proven efficient at elicitation of immune responses, however, in some cases these responses are suboptimal to provide protection against the antigen.

We consider the problem of minimizing preference elicitation in efficient multiattribute auctions, that support dynamic negotiation over non-price based attributes such as quality, time-of-delivery, and processor speed.

The advantage of a computerized questionnaire is the facilitation of chaining of the answers, enabling fast elicitation of choice-based indifferences and efficient testing of procedural invariance.

It has been reported that efficient protection after vaccination could only be acquired by elicitation of high level of long-lasting anti-GAS specific antibodies [19].

In the current study, using selected 2F5 ES proteins, we demonstrated efficient heterologous prime∶boosting that, with each succeeding boost, increases elicitation of 2F5 epitope-specific antibodies and B cells.

In requirement elicitation, identifying system parameters and investigating their relationships is an efficient way of defining new relevant requirements.

The system uses an easy but efficient way of solving the nitrogen equation under agricultural conditions and is based on knowledge elicitation and fuzzy logic methodologies.

The methodology described here – expert elicitation supplemented by workshop deliberations – proved to be relatively cost-effective, time-efficient, and informative for identifying priority stressors for the ecosystem components under consideration, both now and in the future.