Browsing by Subject "Kernel ridge regressions"
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A machine learning model for occupancy rates and demand forecasting in the hospitality industry
(Springer Verlag, 2016)Occupancy rate forecasting is a very important step in the decision-making process of hotel planners and managers. Popular strategies as Revenue Management feature forecasting as a vital activity for dynamic pricing, and ... -
Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in Colombia
(Springer Verlag, 2017)Dengue and Chikungunya fever are two viral diseases of great public health concern in Colombia and other tropical countries as they are both transmitted by Aedes mosquitoes, which are endemic to this area. In recent years, ...
