Lecture |
Slides |
Reading Material |
Part I: General Introduction (May 21, 2012) |
||
Introduction |
slides |
KDD Cup Intro Origin of 'Data Mining?' (link) KDD in China (pages 72-102) |
Decision
Trees |
slides | DM,
Chapters 8, 9; TSK: Chapter 4. |
Neural
Networks |
slides | DM, Chapters 8, 9; TSK: Chapter 4. |
Bayesian
Classifiers |
slides | DM, Chapters 8, 9; TSK: Chapter 4. |
Support
Vector Machines |
slides | DM, Chapters 8, 9; TSK: Chapter 4. |
Ensemble
Classifiers |
slides | TSK: Chapter
5. |
Theoretical
Issues |
slides |
ML: Chapter
2. |
Collaborative
Filtering |
slides |
ACM TIST
Special Issue on Social Rec Systems |
Text and Web
Mining |
slides |
Intro to IR, Ullman's book
|
Part II: Transfer Learning (May 22, 2012) |
||
Introduction |
Introduction
|
Transfer
Learning Survey |
Inductive
Transfer Learning |
Inductive
Transfer Learning Slides |
References |
Heterogeneous
Transfer Learning and |
HTL Slides |
References Heterogeneous Transfer Learning (ACL Talk) |
Transfer
Learning in Social Networks and Recommender Systems |
TL
Link Talk |
References ICML Paper |
Transfer
Learning Applications |
Applications |
2009 Ubicimp Paper |
Adaptive
Transfer Learning and Collaborative Recommendation (Presented by Cao Bin, MSRA) |
Adaptive Transfer Learning | AAAI 2010 Paper, ICML 2010 Paper |
Graph-based
Transfer Learning |
Eigen-Transfer
Slides |
Eigen
Transfer |
Source-free
Transfer Learning |
Source-Selection Free Transfer Learning |
IJCAI
Paper on SSFTL |
Theoretical
Results |
Blitzer's
Paper |