Sentence examples for processing recommendations from inspiring English sources

Exact(3)

Computer-based recommendations in these huge graphs pose challenges in terms of algorithm design and resource usage efficiency when processing recommendations in distributed computing environments.

During his 15 years in the industry and academia his interests included systemic risk, geopolitical scenario modelling, portfolio optimization, volatility and correlation trading, natural language processing, recommendations systems and unsupervised learning.

This finding raises serious doubts on the efficacy of manufacturer's dispenser processing recommendations if not supported by sound scientific evidence.

Similar(57)

Therefore, instead of processing the recommendations (both supervised and unsupervised) in isolation for each user, they are processed considering the same distance matrix.

A recent study of 83 US hospitals found a number of issues, including costs for release higher than federal recommendations, processing times above state requirements, and discrepancies between information given over the phone by medical records departments and information on medical record release authorization forms.

Since PuLSaR uses processing threads to create recommendations for consumer preference profiles, it is possible to increase its throughput (profiles processed per unit of time) by making available extra cores and heap memory to it.

The query and recommendation phase is responsible for processing user queries and recommending workflow paths during workflow design.

Anytime you have image processing problems, recommendation engines (like Google's PageRank or Netflix's recommendation list), you need linear algebra skills.

Two letters of recommendation: GSAS prefers that recommenders submit their letters of recommendation electronically to expedite processing.

Many principles for the design of multimedia learning materials share the recommendation to facilitate processing.

Deep learning approaches have also been found to be suitable for big data analysis with successful applications to computer vision, pattern recognition, speech recognition, natural language processing, and recommendation systems.

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