98年第2學期-4436 人工智慧方法論(二) 課程資訊

評分方式

評分項目 配分比例 說明
Homework 20
Participation in the classes 20
Midterm report 30
Final report 30

選課分析

本課程名額為 70人,已有17 人選讀,尚餘名額53人。


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授課教師

王偉華

教育目標

Learning is an alternative in pursuing the goal. In this semester, two major topics will be covered: Statistical Learning Theory (SLT) and Graphical models, sometimes noted as Bayesian Network (BN).

課程概述

This course is designed for the Ph.D. or aggressive 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. In this semester, two major topics will be covered: Statistical Learning Theory (SLT) and Graphical models, sometimes noted as Bayesian Network (BN).

課程資訊

參考書目

Vapnik, V., “The Nature of Statistical Learning Theory”, Springer, 1999

開課紀錄

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