Sentence examples for learning highly from inspiring English sources

Exact(7)

Gaussian processes have been successfully used for learning highly accurate mappings.

Robustly and simultaneously learning highly discriminative multiclass classifiers with local image features is one of the most significant challenges to computer vision researchers, because they are critical infrastructures for recognition engines; consequently, these researches appear of great importance.

We bring forward two types of arguments which convey the message that many currently popular machine learning approaches to learning flexible functions have fundamental limitations that render them inappropriate for learning highly varying functions.

Only five of the 17 high schools in the San Francisco Unified School District offer computer science classes, meaning that students are missing out on learning highly employable skills in web development despite living in the global capital of the technology industry.

The challenges associated with virtual schooling include the conclusion that the only students typically successful in online learning environments are those who have independent orientations towards learning, highly motivated by intrinsic sources, and have strong time management, literacy, and technology skills.

My program, Surface Drawing, allowed a profound human experience: for the first time people were able to create meaningful 3d creations without learning highly technical software like Maya.

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Similar(53)

The government argued that Khan, while detained, may have come to learn "highly classified" information, and therefore could not communicate with counsel.

He was brilliant in the operating room, gentle at the patients' bedside and, as I quickly learned, highly effective in the classroom.

Furthermore, the deep learning model could learn highly nonlinear features which are beneficial to the domain adaptation problem.

This frenzied puzzle game is easy to learn, highly addictive and provides endless fun with 25 3D levels.

This paper proposes a novel approach to learn highly scalable CPs of basis movement skills from multiple demonstrations.

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