Zhi-Hua Zhou 教授 (Cheung Kong professor, 南京大学，中国
http://cs.nju.edu.cn/zhouzh/)<br>
講演日時：12/21 16:00-18:00<br>
講演場所：伊都キャンパス ウェスト2号館10階 1019号室（セミナー室1）<br>
題目: Ensemble and Semi-Supervised: Single or Combine<br>
概要:
Ensemble learning and semi-supervised learning are two different machine
learning paradigms. They have almost the same goal, that is, to attain a
strong generalization. Both paradigms have achieved great success during
the past decade, however, they are almost separately developed since
they have different cultures. Ensemble learning attempts to achieve
strong generalization by using multiple learners; semi-supervised
learning attempts to achieve strong generalization by exploiting
unlabeled data. In this talk, we will give introduction to ensemble
learning and semi-supervised learning, and discuss on why they can be
helpful to each other.<br>

略歴：
Zhi-Hua Zhou received his BS, MS and PhD degrees in computer science
from Nanjing University, China, all with the highest honor. He joined
the Department of Computer Science & Technology of Nanjing University as
an assistant professor in 2001, and at present he is Cheung Kong
professor and founding director of the LAMDA Group. He has wide research
interests, mainly including artificial intelligence, machine learning,
data mining, information retrieval and pattern recognition. In these
areas he has published over 70 papers in leading journals and
conferences. He has won various awards or honors. He is an associate
editor-in-chief of <Chinese Science Bulletin>, associate editor of <IEEE
Transactions on Knowledge and Data Engineering> and <ACM Transactions on
Intelligent Systems and Technology>, and on the editorial boards of
several other journals. He is Steering Committee member of PAKDD and
PRICAI, program committee chair/co-chair of PAKDD'07, PRICAI'08,
ACML'09, vice chair or area chair of IEEE ICDM'06, IEEE ICDM'08, SIAM
DM'09, ACM CIKM'09, etc., and chaired a dozen of native conferences. He
is the chair of the Machine Learning Society of the Chinese Association
of Artificial Intelligence (CAAI), vice chair of the Artificial
Intelligence & Pattern Recognition Society of the China Computer
Federation (CCF) and chair of the IEEE Computer Society Nanjing Chapter.