Schedule

Please make sure you get everything ready before your own show.

2008.09.22 Introduction

• Introduction to Semi-supervised Learning (chap1, 25)
  
  given by Li He
  
  Related materials
  Jerry Zhu's tutorial on SSL in ICML 2007; chap 1, 2 and 25; slides.
  
• Introduction to Support Vector Machines
  
  given by Li He
  
  Related materials
  Two Books, Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond; slides (only part of it is covered in the seminar).
  

2008.10.13 S3VM Algorithms Part I: Lower Density Separation

• Transductive SVM and ▽S3VM
  given by ??
  Related materials
  chap 6, Joachims' paper, workshop on AI and stat 2005.
  
• SDP Convex Relaxation and its Application in S3VM
  given by ??
  Related materials
  chap 7, NIPS 2007,
  

2008.10.20 S3VM Algorithms Part II: Global Optimization Algorithms

• Continuation and its Application in S3VM
  Related Materials
  ICML 2006, about continuation.
  
• Deterministic Annealing and its application on S3VM
  Related Material
  ICML 2006,
  

2008.10.27 S3VM Algorithms Part III: Other Optimization Algorithms

• Branch and Bound and its Application in S3VM
  Related material
  NIPS 2006,
• CCCP and its Application in S3VM
  Related Material
  ICML 2006, NIPS 2001,
  

2008.10.27 Graph Based Method
Laplacian Smoother and its Application in SSL (including S3VM)