Lau, Siu Him. / "November 2009." / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 46). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.7 / Chapter 2 --- Support Vector Machine --- p.9 / Chapter 2.1 --- Two-Class Support Vector Machine --- p.9 / Chapter 2.2 --- Kernel Tricks --- p.12 / Chapter 2.3 --- Weighted Support Vector Machine --- p.14 / Chapter 2.4 --- Parameter Selection in Support Vector Machine --- p.16 / Chapter 3 --- Feature Selection Methods --- p.17 / Chapter 3.1 --- Principle Component Analysis --- p.17 / Chapter 3.1.1 --- Maximizing Variance --- p.17 / Chapter 3.1.2 --- Relation with Singular Value Decomposition --- p.19 / Chapter 3.1.3 --- Feature Selection by Singular Value Decomposition --- p.20 / Chapter 3.1.4 --- Disadvantage of Unsupervised Learning --- p.21 / Chapter 3.2 --- Linear Discriminant Analysis --- p.21 / Chapter 3.2.1 --- Between-class Distance and Within-class Variance --- p.22 / Chapter 3.2.2 --- Generalized Eigenvalue Problem --- p.24 / Chapter 3.2.3 --- Feature Selection by Linear Discriminant Analysis --- p.25 / Chapter 4 --- Application on a Real Problem --- p.27 / Chapter 4.1 --- Problem and Goals --- p.27 / Chapter 4.2 --- Diabetes Data Set --- p.27 / Chapter 4.3 --- Data Processing --- p.28 / Chapter 4.3.1 --- Pre-processing for Categorical Data --- p.28 / Chapter 4.3.2 --- Handling Uneven Data Set --- p.31 / Chapter 5 --- Results on Simulated and Real Data --- p.33 / Chapter 5.1 --- Evaluation --- p.33 / Chapter 5.1.1 --- Training and Testing --- p.33 / Chapter 5.1.2 --- Evaluation Method --- p.34 / Chapter 5.2 --- Classification Procedure --- p.35 / Chapter 5.3 --- Performance on Simulated Data --- p.36 / Chapter 5.4 --- Results on a Real Data Set --- p.39 / Chapter 5.4.1 --- Features Selection --- p.39 / Chapter 5.4.2 --- Performance on the Real Data Set --- p.41 / Chapter 5.4.3 --- Analysis on Risk Factors --- p.42 / Chapter 6 --- Conclusion --- p.44 / Bibliography --- p.46