Pattern Recognition and Machine Learning (2008)

Japanese | Course list, www.kameda-lab.org 2008/10/28

About

Lecturer: Yoshinari Kameda, Hideki Kakeya
Classroom: 3A410
Semester: 2
Day/Time : Tuesday 2nd and 3rd (10:10-11:25, 12:15-13:30)
Credit: 2

This course is designed to the students of dept. of IIT, grad school of SIE, U-Tsukuba.


Schedule

The topics are subject to change.
YYYY/MM/DDTurnLecturerContent
2008/09/0201Kameda/Kakeya[0] Tutorial ( normal distribution, average and variance, inner product, metric space, hyperplane)
2008/09/0902Kameda[1] Partial derivatives, steepest descendant method, gradient (total derivative), lagrange multipliers
2008/09/1603Kakeya
2008/09/3004Kameda[2] Linear classification, linear SVM, soft margin
2008/10/0705Kakeya
2008/10/14--------(no class ... thanks to Campus festival)
2008/10/2106Kameda[3] soft margin (linear SVM), non-linear SVM
2008/10/2807Kameda[4] Curse of dimension(JP), Particle filter(JP)
2008/11/0408Kakeya
2008/11/1109Kakeya
2008/11/1810Kakeya
2008/11/25Exam


Report

  1. Report 1
  2. Report 2

Syllabus


kameda[at]iit.tsukuba.ac.jp