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Predicting a Quarterback's Fantasy Football Point Output For Daily Fantasy Sports Using Statistical Models
(2017-04-24)
In the new age of daily fantasy sports (DFS), fantasy football has become an enormous revenue generator for DFS sites, such as DraftKings and FanDuel. Both companies are valued over \$1 billion. However, previous analysis ...
MARS Knot Positioning and Global Optimization
(2019-08-12)
Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ...
Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors
(2020-06-05)
K-Nearest Neighbors (KNN) has remained one of the most popular methods for supervised machine learning tasks. However, its performance often depends on the characteristics of the dataset and on appropriate feature scaling. ...
Machine Learning: Several Advances in Linear Discriminant Analysis, Multi-View Regression and Support Vector Machine
(2017-04-24)
Machine learning technology is now widely used in engineering, science, finance, healthcare, etc. In this dissertation, we make several advances in machine learning technologies for high dimensional data analysis, image ...