Pattern Recognition, Fall 2020

Course Schedule

1st week

        09/08   Course overview, Chapter 1 : Introduction

2nd week

        09/15   Chapter 2 : Bayesian Decision Theory

3rd week

        09/22   Chapter 2 : Bayesian Decision Theory

4th week

        09/29   Chapter 2 : Bayesian Decision Theory

5th week

        10/06   Chapter 2 : Bayesian Decision Theory

6th week

        10/13   Chapter 2 : Bayesian Decision Theory

7th week

        10/20   Natural Language Processing

8th week

        10/27   Natural Language Processing

9th week

        11/03   Natural Language Processing

10th week

        11/10   Natural Language Processing

11th week

        11/17   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

12th week

        11/24   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

13th week

        12/01   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

14th week

        12/08   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

15th week

        12/15   Chapter 3 : Maximum-Likelihood and Bayesian Parameter Estimation

16th week

        12/22  
專題成果 報告

17th week

        12/29   專題成果報告