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To improve the accuracy, the functional risk R(w) should be minimized over a class of functions f (x, w), w ∈ W.
Given that only the workload values for the training duration are known, the functional risk R(w) cannot be calculated for the candidate predictor functions f (x, w), w ∈ W; hence, the most accurate prediction function cannot be found.
Complicated urinary tract infections occur in patients with structural or functional risk factors.
To solve the functional risk problem, the functional risk R(w) can be replaced by the empirical risk [25]: E(w) = frac{1}{l}{displaystyle {sum}_{i=1}^l} Lleft {y}_i, fleft({x}_i, wright)right) (3).
The goal is to find the most accurate predictor, which is the learning machine with the minimum functional risk.
In this case, the confidence interval is small and the functional risk is bounded by the empirical risk.
Similar(33)
This provides a functional risk-benefit picture from which the risks and the benefits may be evaluated, i.e., risk-benefit evaluation.
Low medical risk patients were further subgrouped according to biopsychosocial and functional risks.
Tumour resection should be optimal, that is with margins as wide as possible, avoiding any major functional risks (standard, expert agreement).
In the future, TB may also be used to follow up selected patients having a low risk cancer and a potentially low benefit of radical treatment or willing to postpone invasive procedures due to functional risks.
Craig Malkin, a lecturer at Harvard Medical School and the author of "Rethinking Narcissism," suggests relying on "people already trained to provide functional and risk assessment based entirely on observation — forensic psychiatrists and psychologists as well as 'profilers' groomed by the CIA, the FBI, and various law enforcement agencies".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com