Sentence examples for using proprietary algorithms and from inspiring English sources

The "mobile-only search engine" will index the content inside apps, link that content together, and then rank results "tailored for every user adding contextual relevance using proprietary algorithms and technologies".

In LTE-A, the evolved node base station (E-Node-B) makes the decision of the selected MCS for DL transmissions, using proprietary algorithms and a channel quality indicator (CQI) feedback reported by the user equipment (UE) to the E-Node B. As shown on Fig. 1, the E-node B forwards dedicated pilots to the UE in order to estimate RSSI on the DL.

This technological breakthrough is achieved by using proprietary algorithms and a new approach based on a leading theory of artificial intelligence, the Marvin Minsky's Frame Theory.

Vroom uses proprietary algorithms and data about the value of different cars and trucks in different conditions to set prices.

Vroom uses proprietary algorithms and data about the value of different cars and trucks in different conditions to set prices.

However, ICDMAP-90 required payment of a fee, used proprietary algorithms, and did not recognize some more recent ICD-9-CM codes (or ICD-10-CM codes).

Finally, it is also worthwhile to mention that most of used databases use proprietary algorithms and do not disclose how they extract underlying knowledge.

By using proprietary algorithms, the mobile and web app pieces together multiple video and photo assets and creates sharable videos and photo slideshows.

We are truly taking the $60B sponsorship industry online, by using proprietary algorithms, extensive data and software tools to help brands discover, connect and close the deal with the right athlete, event and team.

For internet firms like Facebook and Google that collect personal data and monetize it using proprietary algorithms, state theft of corporate secrets — and their potential exploitation by Chinese rivals linked to the government — would pose a serious threat.

Carambola, which was founded back in 2011 and raised a $1 million seed this July, has built a platform to automate the process of making online video content interactive — by scanning the video and using proprietary algorithms to determine contextually relevant additional content to serve up for users to interact with.