Sentence examples for our algorithm leverages from inspiring English sources

Exact(1)

Specifically, our algorithm leverages the knowledge of the observed traffic to dynamically shift the weight between efficiency and fairness and strikes to improve the preferred performance metric without excessively degrading the other one.

Similar(59)

"We're working with the best voice-recognition and transcription systems, and our algorithms leverage the distributed microphone system to know exactly who is speaking". Depending on variables like background noise, voice pitch and accent, the transcription can reach up to 95percentt accuracy.

Then the Facebook algorithm leverages that and amplifies the effect," said Menczer.

This novel algorithm leverages the use of localized information for its operation.

A main contribution of this study is that to further improve the search efficacy, the proposed algorithm leverages on model-selection theory and continuously calibrates the classifier during the search.

The MapReduce computing framework is designed for distributed computing on massive data sets, and the new algorithm leverages MapReduce techniques to enable processing of graphs with billions of vertices.

Again, under this optimization criterion, algorithm leverages the use of localized information acquired through a well designed and distributed wireless sensor network, as it averts the need for any long-haul communication links or centralized decision and monitoring facility thereby achieving a more reliable performance under dynamic environments.

The algorithm leverages a variety of inputs, including account information, customer preferences, purchase history, third-party data and contextual information.

The proposed algorithm leverages the fact that noise within different sections of the image is typically uncorrelated.

The algorithm leverages implicit local knowledge about the system structure and uses a simple coordination mechanism to detect loops in the resource flow.

Note that none of the low-resolution frames are exactly identical; they are all different, and thus, the algorithm leverages on this fact to extract the details from each low-resolution frame and combine them to form a single high-resolution frame.

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