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Title: A machine learning model for occupancy rates and demand forecasting in the hospitality industryAuthor: Caicedo-Torres W. / Payares F.Language: InglésRepository: 61Subject: Forecasting / Hotel occupancy. Demand / Kernel Ridge Regression / Machine learning / Neural Networks / Ridge regression / Artificial intelligence / Costs / Decision making / Economics / Hotels / Learning systems / Neural networks / Regression analysis / Decision making process / Financial performance / Kernel ridge regressions / Machine learning models / Machine learning techniques / Mean absolute percentage error / Specialized software
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Title: Kernel-based machine learning models for the prediction of dengue and chikungunya morbidity in ColombiaAuthor: Caicedo-Torres W. / Montes-Grajales D. / Miranda-Castro W. / Fennix-Agudelo M. / Agudelo-Herrera N.Language: InglésRepository: 61Subject: Chikungunya / Dengue / Forecasting / Gaussian processes / Kernel ridge regression / Machine learning / Artificial intelligence / Diseases / Gaussian distribution / Gaussian noise (electronic) / Health / Learning systems / Public health / Regression analysis / Kernel ridge regressions / Machine learning models / Mean absolute percentage error / Research and development / Time series forecasting / Learning algorithms
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Title: Using Data-Mining Techniques for the Prediction of the Severity of Road Crashes in Cartagena, ColombiaAuthor: Ospina-Mateus H. / Quintana Jiménez L.A. / López-Valdés F.J. / Morales-Londoño N. / Salas-Navarro K.Language: InglésRepository: 61Subject: Data mining / Prediction / Road crashes / Severity / Decision trees / Forecasting / Highway accidents / Motor transportation / Motorcycles / Roads and streets / Support vector machines / Area under the ROC curve / Classification algorithm / Knowledge analysis / Machine learning techniques / Multi layer perceptron / Road crash / Support vector machine (SVMs)
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