Sentence examples for expert knowledge with from inspiring English sources

Then, the design problem is established using the fuzzy rule set based on designer's expert knowledge with a holistic approach.

The conditional probabilities of every BN node were determined by expert knowledge with weighted treatments by the Dempster-Shafer evidence theory.

In contrast to existing approaches, we propose an integrated approach to feature selection for the FDP problem that embeds expert knowledge with the wrapper method.

In this paper, based on expert knowledge with treatment by the Delphi method to determine conditional probabilities, a Bayesian network (BN) has been developed to investigate the factors influencing mine gas explosion accidents.

By embracing an ethic of mentorship at all levels and by collectively committing to sharing our expert knowledge with individuals at all stages of their careers, we can cut out the learning curve and accelerate growth across our mission.

The analytical format we developed and tested within the context of workshops, matching expert knowledge with creative elements and role play turned out to be an efficient approach for the development of future-oriented, actionable policy recommendations.

Although Mr. Sarnoff never went beyond elementary school, he combined expert technical knowledge with visionary business acumen to consolidate a vast radio and television empire.

In this paper we describe a new device specifically designed for capturing images of expelled kidney stones, and a method to learn and apply the experts knowledge with regard to their classification.

Thus, the main contribution of this paper is presented by the matching of experts' knowledge with results of data mining in order to improve the production process understanding and visual support of causes and effects of production process for operators.

Use is made of the elicitation concept, whereby expert knowledge combined with a limited amount of data are translated into probability distributions describing the level of uncertainty of various input and model variables.

Fuzzy logic make the inference process understand easily, which can use expert knowledge directly, with lower requirements on the samples.