Time: Mon. Thu. 3:00, Fri. 7:00
Place: 138 - 415 seminar room
| Date |
Title |
Speaker |
01/23
Mon.
|
Ch2. Overview of Supervised Learning [down]
|
I.-H. Lee
K.-I. Kim
|
01/25
Wed.
|
Ch3. Linear Methods for Regression [down]
|
J.-G. Joung
S.-.J Kim
|
02/02
Thu.
|
Ch4. Linear Methods for Classification [down]
|
S.-Y. Shin
|
02/06
Mon.
|
Ch5. Basis Expansions and Regularization [down]
|
S. Kim
J.-K. Kim
|
02/08
Wed.
|
Ch6. Kernel Methods [down]
|
J.-K. Rhee
|
02/10
Fri.
|
Ch7. Model Assessment and Selection [down]
|
J.-W. Nam
|
02/13
Mon.
|
Ch8. Model Inference and Averaging [down]
|
Y.-K. Roh
B.-H. Kim
|
|
02/17
Fri.
|
Ch9. Additive Models, Trees, and Related Methods [down]
|
I.-H. Lee
|
02/20
Mon.
|
Ch10. Boosting and Additive Trees [down]
|
J.-G. Joung
|
02/20
Mon.
|
Ch11. Neural Networks [down]
|
S.-Y. Shin
|
02/22
Wed.
|
Ch12. Support Vector Machines and Flexible Discriminants [down]
|
M.-O. Heo
|
02/24
Fri.
|
Ch13. Prototype Methods and Nearest-Neighbors [down]
|
J.-H. Eom
|
02/27
Mon.
|
Ch14. Unsupervised Learning [down]
|
S. Kim
B.-H. Kim
|