Course Name Probabilistic Models in Informatics
Instructor and position Asanobu KITAMOTO, Associate Professor
Students ‚P-‚Tth year
Credits ‚Q
Lecture/experiment Lecture
Summary The focus of this course is probabilistic models that play important roles in informatics for the modeling of real world data. This course deals from the basics to the application of probability theory, and discuss important topics for using probabilistic models such as learning and evaluation.
Aims To understand the basic concept of probabilistic models and use them for studentfs own research.
Plan (1) Basic of probability theory
(2) Introduction to various probabilistic models
(3) Paper reading and presentation
(4) Reports
Evaluation criteria Attendance (50%, including participation to the class)
Presentation (25%)
Reports (25%)
Textbooks  
References  
Prerequisites Interests in probabilistic models
Remarks

Information about the course will be provided in the following page.

http://agora.ex.nii.ac.jp/~kitamoto/education/

 

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