1 Basic principle 2 Multiple classifier combination 3 Bagging 4 Boosting

1 A problem in perceptron 2 Linear SVM in LSC 3 SVM in LIC 4 Kernel Functions 5 Nonlinear SVM 6 SMO Algorithm

1 A Case 2 Least Squares Method 3 From Linear to Nonlinear: Using Linear Model 4 How Regression Got Its Name 5 Probability Interpretation 6 Bias–Variance Dilemma

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Introduction、Chapter 01 Preparations

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（教学大纲，何子述）

7.1 Chapter highlights 7.2 Unknown phase 7.3 Unknown phase and amplitude 7.4 Diversity approaches & performances

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 09 Nonparametric detection

Introduction Warming Up - Review

Signal Model Matched Filter Review: NP theorem Development of the Detector Performance of Matched Filter Generalized Matched Filter Multiple Signal M-ary Detector

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 06 Statistical Detection Theory II