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）

1 感知机的概念 2 感知机的学习策略 3 感知机学习算法 4 感知机学习算法的对偶形式

1 K-Means Clustering Algorithm 2 PageRank

1 Density Estimation 2 Histogram Method 3 Parzen Window 4 k-nearest neighbors 5 Summary of nonparametric models

1 Probability Density Estimation 2 Maximum Likelihood Estimation 3 MAP estimation 4 Bayesian estimation 5 Expectation maximization

1 Basic principle 2 Multiple classifier combination 3 Bagging 4 Boosting

1 History 2 Preparatory knowledge 3 XOR problem 4 MLP is doing what? 5 Tilling Algorithm 6 Learning algorithm for MLP of differentiable activation function

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

1 Preparatory knowledge 2 Perceptron concept 3 Learning strategies of perceptron 4 Perceptron learning algorithm 5 Convergence of perceptron learning algorithm 6 Dual form of perceptron learning algorithm