Maximum entropy modeling for diacritization of Arabic text

2006 ◽  
Author(s):  
Ruhi Sarikaya ◽  
Ossama Emam ◽  
Imed Zitouni ◽  
Yuqing Gao
Keyword(s):  
Maximum Entropy ◽  
Arabic Text ◽  
Maximum Entropy Modeling

Maximum Entropy modeling for habitat suitability assessment of Red-crowned crane

2018 ◽  
Vol 91 ◽  
pp. 439-446 ◽  
Author(s):  
Xiaodong Na ◽  
Haitao Zhou ◽  
Shuying Zang ◽  
Changshan Wu ◽  
Wenliang Li ◽  
...  
Keyword(s):  
Maximum Entropy ◽  
Habitat Suitability ◽  
Maximum Entropy Modeling ◽  
Suitability Assessment ◽  
Habitat Suitability Assessment

scholarly journals Social multipliers and the Covid-19 epidemic: Analysis through constrained maximum entropy modeling

2020 ◽  
Author(s):  
Duncan K. Foley
Keyword(s):  
Social Behavior ◽  
Maximum Entropy ◽  
Individual Risk ◽  
Epidemic Dynamics ◽  
Maximum Entropy Modeling ◽  
Social Multiplier ◽  
Aggregate Effects ◽  
Multiplier Effects ◽  
Reporting Rates ◽  
The Impact

AbstractSocial multipliers occur when individuals’ actions influence other individuals’ actions so as to lead to amplified aggregate effects. Epidemic infections offer a dramatic example of this phenomenon since individual actions such as social distancing and masking that have small effects on individual risk can have very large effects in reducing rates of infection when they are widely adopted. This paper uses the info-metric method of constrained maximum entropy modeling to estimate the impact of social multiplier effects in the Covid-19 epidemic with a model that infers the length of infection, the rate of mortality, the base infection factor, and reductions in the infection factor due to changes in social behavior from data on daily infections and deaths. When the model takes account of the rate of reporting of infections, it produces two scenarios of epidemic dynamics: one in which reporting is low, under 10%, the estimated infection is correspondingly large, and immunity effects play a significant role in stabilizing the epidemic; and a second where reporting rates are close to 100%, and the epidemic is controlled mostly by changes in social behavior.

Sign in / Sign up

Export Citation Format

Share Document