Sentence examples for realistic learning from inspiring English sources

Clear and realistic learning objectives, preparation in terms of familiarity with the environment and staff roles, embedding the experience in the patient's journey/care pathways, faculty expectations being clearly communicated to clinical teaching staff and, perhaps above all, approachability of theatre staff are likely to improve the learning experience.

In this paper, we demonstrate the unfortunate result that, for any realistic learning scenario, the monotone DAG faithfulness assumption is incompatible with the faithfulness assumption.

Since exclusively physical learning factories provide a realistic learning experience on a low level – including product, machine and process view – new paradigms require an extended system perspective.

This, he said, would be a way of "enhancing the course offerings" of its hospitality business department, to give students "a more realistic learning environment in areas such as food service and hotel management".

Existing research literature indicates that the use of various simulation techniques in the training of physical examination skills develops students' cognitive and psychomotor abilities in a realistic learning environment while improving patient safety.

Spio's hope is that Next Galaxy's virtual reality model will better educate and prepare health care providers--as well as consumers--for learning CPR, based on a more realistic learning environment.

ICSI scientists will collaborate with researchers from AMPLab and IBM to implement randomized matrix algorithms in this framework and apply it to realistic machine learning use cases.

The model is related to our work on optimal screening with returns contracts Akan, Ata, and Dana [1], but here we consider a simpler binary-valuation distribution and consider more realistic consumer learning assumptions.

In addition, ABMs can incorporate evolutionary algorithms that allow realistic agent learning, and extensions of this work include the addition of a machine learning (ML) module to the ABM framework, to facilitate automatic policy generation.

Research sites engaged in similar work will no doubt relate to many of these realistic lessons learned.

Any realistic model of learning from samples must address the issue of noisy data.