98年第1學期-4436 人工智慧方法論 課程資訊
|Participation in the classes||20|
本課程名額為 70人，已有15 人選讀，尚餘名額55人。
This course is designed for the Ph.D. and aggresive Master students. The purpose of this course is to help the students mastering the theoretical concepts and skills in analyzing the learning processes and the related methodologies. The ways to expolore the relationships among data are heavily investigated and discussed in these years. Learning is an alternative in pursuing the goal. The basic concepts of Machine Learning will be covered and the methodologies on the statistical notion on data modeling will be emphasized.
This course is designed for the Ph.D. or aggresive Master students. The purpose of this course is to help the students to have acquaintance with the theoretical concepts and methodologies in the Statistical Learning Theory (SLT). The ways to expolore the relationships among data attracts many research attentions in these years. SLT is a heavy investigated, both in theory and methodologies, alternative in pursuing the target.
Office HourThr. 10:10 ~ 12:00 am
1. Vapnik, V., “The Nature of Statistical Learning Theory”, Springer, 1999
2. Jordan, I. Michael, “Learning in Graphical Models”, MIT press, 1999