scholarly journals Adversarial parameter defense by multi-step risk minimization

2021 ◽  
Vol 144 ◽  
pp. 154-163
Author(s):  
Zhiyuan Zhang ◽  
Ruixuan Luo ◽  
Xuancheng Ren ◽  
Qi Su ◽  
Liangyou Li ◽  
...  
Keyword(s):  
2011 ◽  
Vol 13 (4) ◽  
pp. 63-93
Author(s):  
Dmitriy Levchenkov ◽  
Thomas Coleman ◽  
Yuying Li
Keyword(s):  

2020 ◽  
Vol 15 (3) ◽  
pp. 181-189
Author(s):  
Omotayo Fatokun

Background: While off-label drug use is common and sometimes necessary, it also presents considerable risks. Therefore, measures intended to prevent or reduce the potential exposure to off-label risks have been recommended. However, little is known about community pharmacists’ beliefs regarding these measures in Malaysia. Objectives: This study examined community pharmacists’ beliefs towards risk minimization measures in off-label drug use in Malaysia and assessed the relationship between perceived risk of off-label drug use and beliefs towards risk minimization measures. Methods: A cross-sectional survey was conducted among 154 pharmacists practicing in randomly selected community pharmacies in Kuala Lumpur and the State of Selangor, Malaysia. Results: The majority agreed or strongly agreed that adverse drug events from the off-label drug should be reported to the regulatory authority (90.9%) and the off-label drug should only be used when the benefit outweighs potential risks (88.3%). Less than half (48.1%) agreed or strongly agreed that written informed consent should be obtained before dispensing off-label drugs and a majority (63.7%) agreed or strongly agreed that the informed consent process will be burdensome to healthcare professionals. Beliefs towards risk minimization measures were significantly associated with perceived risk of off-label drug use regarding efficacy (p = 0. 033), safety (p = 0.001), adverse drug rection (p = 0.001) and medication errors (p = 0.002). Conclusion: The community pharmacists have positive beliefs towards most of the risk minimization measures. However, beliefs towards written informed consent requirements are not encouraging. Enhancing risk perception may help influence positive beliefs towards risk minimization measures.


2013 ◽  
Vol 433-435 ◽  
pp. 612-616 ◽  
Author(s):  
Bin Xia ◽  
Fan Yu Kong ◽  
Song Yuan Xie

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction.


Sign in / Sign up

Export Citation Format

Share Document