2F4-1 Error Management Study (3)

Error Management Culture and Its Impact on Hospital Performance: A Case Study in Iran

Background and Objectives: In recent decades medical errors have become a major issue for scientific investigation to avoid potential harmful failures threatening patients’ health and safety. Developing risk management culture has been considered not only to play an important role in detecting and coping effectively with such errors but also lead to high level ...

Ab Initio Study of Conformational and Configurational Properties of 1, 3- Diazacyclohepta-1, 2-diene and 1, 3-Diazacycloocta-1, 2-diene

Ab initio calculations at HF/6-31G* level of theory for geometry optimization and MP2/6-31G*//HF/6-31G* for a single point total energy calculation are reported for the importantenergy-minimum conformations and transition-state geometries of 1, 3-diazacyclohepta-1, 2-diene (2) and 1, 3-diazacycloocta-1, 2-diene (3). The C2 symmetric twist-chair (2-TC)conformation of 2 is calculated to be 7.4 kJ...

Running Head : Classification Error & LPI error 1 2 3 4 5 6 7 8 9

3 Approximation Error vs . Estimation Error

A loss function is a mapping l : Y×Y "→ R (sometimes R×R "→ R). For example, in binary classification the 0/1 loss function l(y, p) = I(y ≠ p) is often used and in regression the squared error loss function l(y, p) = (y − p) is often used. Other loss functions include the following: absolute loss, Huber loss, εinsensitive loss, hinge loss, logistic loss, exponential loss, modified least squares...

.1 Error

Randomized algorithms have an additional primitive operation that deterministic algorithms do not have. We can select a number from a range [1 . . .x] uniformly at random, at a cost assumed to be linearly dependent on the size of x in binary representation. The algorithm then makes a decision based on the outcome of this random selection. We first look at some defining characteristics of random...