1. Semi-supervised model-based document clustering: A comparative study

   • Shi Zhong

   OriginalPaper 28 March 2006 Pages: 3 - 29

2. The max-min hill-climbing Bayesian network structure learning algorithm

   • Ioannis Tsamardinos
   • Laura E. Brown
   • Constantin F. Aliferis

   OriginalPaper 28 March 2006 Pages: 31 - 78

3. Kernels as features: On kernels, margins, and low-dimensional mappings

   • Maria-Florina Balcan
   • Avrim Blum
   • Santosh Vempala

   OriginalPaper 03 May 2006 Pages: 79 - 94

4. Cost curves: An improved method for visualizing classifier performance

   • Chris Drummond
   • Robert C. Holte

   OriginalPaper 08 May 2006 Pages: 95 - 130

5. MODL: A Bayes optimal discretization method for continuous attributes

   • Marc Boullé

   OriginalPaper 08 May 2006 Pages: 131 - 165

6. Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming

   • Abraham P. George
   • Warren B. Powell

   OriginalPaper 17 May 2006 Pages: 167 - 198

7. Learning decomposable markov networks in pseudo-independent domains with local evaluation

   • Y. Xiang
   • J. Lee

   OriginalPaper 17 May 2006 Pages: 199 - 227

8. An efficient top-down search algorithm for learning Boolean networks of gene expression

   • Dougu Nam
   • Seunghyun Seo
   • Sangsoo Kim

   OriginalPaper 30 June 2006 Pages: 229 - 245

9. An analysis of diversity measures

   • E. K. Tang
   • P. N. Suganthan
   • X. Yao

   OriginalPaper 14 July 2006 Pages: 247 - 271

10. Training a reciprocal-sigmoid classifier by feature scaling-space

    • Kar-Ann Toh

    OriginalPaper 14 July 2006 Pages: 273 - 308

11. A suffix tree approach to anti-spam email filtering

    • Rajesh Pampapathi
    • Boris Mirkin
    • Mark Levene

    OriginalPaper 27 July 2006 Pages: 309 - 338