国科大2023秋季学期模式识别作业题
by 中国科学院自动化研究所 向世明研究员、孟高峰研究员
| 章节知识点(Chapter) | 作业(Homework) |
|---|---|
| Bayes decision and estimation, Maximum Likelihood | HW-1 |
| Parzen-window estimation, Expectation-Maximization(EM), Hidden Markov Model(HMM) | HW-2 |
| Linear Discriminant Analysis, Batch Perception, Ho-Kashyap algorithm, MSE-expand | HW-3 |
| Neural Network, Back Propagation algorithm(BP) | HW-4 |
| Feature Selection, Manifold Learning, PCA/LDA(with KNN) | HW-5 |