Browsing by Subject "Artificial Neural Networks"
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Application of Artificial Neural Networks, Gradient Boosted Decision Trees, and Multilevel Logistic Models in a Supervised Learning Environment to Investigate Differences in Classification Performance when Predicting College Enrollment
(2018-05)The use of data mining algorithms for applied practice is becoming commonplace in many industries. The application of these models to the domain of educational data and practice could provide significant gains in understanding ... -
Developing an Algorithm to Identify Secondary Incidents
(2018)Highways are the most frequently used means of transportation in today’s world and the leading source of travel mishaps. Crashes or incidents on highways—both primary and secondary—constrain highway capacity, threaten ...