Another question of interest concerns the behaviour of a learning algorithm in the infinite sample limit: as it receives more and more data, does the algorithm converge to an optimal prediction rule, i.e. does the generalization error of the learned function approach the optimal error? Recall that for a distribution D on X × Y and a loss ` : Y × Y→[0,∞), the optimal error w.r.t. D and ` is the ...

Error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. A root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. An important factor of an error occurrence is a root cause (c...

purpose: to evaluate visual outcomes after deep anterior lamellar keratoplasty (dalk) in patients with keratoconus. methods: in this interventional case series, patients with moderate to advanced keratoconus underwent dalk. inclusion criteria consisted of contact lens intolerance or poor spectacle-corrected visual acuity. dalk was performed using the big-bubble technique introduced by anwar and...