Resources ( maintained by Ming Li)
 
[Software & Codes] [Data Sets] [ML Researchers] [Upcoming Conferences] 
Software & Codes

             C4.5 Decision Tree (release 8):  J. R. Quinlan's Decision Tree.   

                    Reference:      J. R. Quinlan. C4.5: Programs for Machine Learning, San Francisco: Morgan Kaufmann Publishers, 1993.
             C4.5Rule-PANE:  Java implementation for C4.5Rule-PANE Algorithm,  WEKA (version 3.2) is required.
                    Reference:      Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information
                                            Technology in Biomedicine, 2003, 7(1): 37-42.
             COREG: Java implementation for COREG Algorithm,  WEKA (version 3.4) is required.
                   Reference:      Z.-H. Zhou and M. Li. Semi-supervised regression with co-training style algorithms. IEEE Transactions on Knowledge and Data Engineering, 2007, 19
                                           (11): 1479-1493.
             Co-Forest: Java implementation for Co-Forest Algorithm,  WEKA (version 3.4) is required.
                   Reference:      M. Li and Z.-H. Zhou. Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples. IEEE Transactions on Systems,
                                            Man and Cybernetics - Part A: Systems and Humans, 2007, 37(6):1088-1098.
             NeC4.5:  Java implementation for NeC4.5 Algorithm,  WEKA (version 3.2) is required.
                    Reference:      Z.-H. Zhou, Y. Jiang. NeC4.5: neural ensemble based C4.5. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(6): 770-773.
             TriTrain:  Java implementation for Tri-Training Algorithm,  WEKA (version 3.4) is required.
                   Reference:       Z.-H. Zhou and M. Li. Tri-training: exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 2005,                                              17(11): 1529-1541.
             WEKA:  Waikato Environment for Knowledge Analysis.
                  Reference:      I.H. Witten, E. Frank. Data Mining:  Practical  Machine  Learning  Tools  and  Techniques with  Java  Implementations,  Morgan  Kaufmann,  
                                 San Francisco, CA, 2000.
  
Data Sets
             LETOR. Benchmark Data Sets for Learning to Rank.
 
             MILWEB.  Data for Multi-Instance Learning Based Web Index Recommendation
                   Reference:       Z.-H. Zhou, K. Jiang, and M. Li. Multi-instance learning based web mining. Applied Intelligence, 22(2): 135-147

             UCI Machine Learning Repository.  Benchmark test sets for machine learning.

                    Reference:      C. Blake, E. Keogh, C. J. Merz.  UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine,
                                              CA: University of California, Department of Information and Computer Science. 1998.
 
 
 
ML Researchers
             David W. Aha, Naval Research Laboratory, USA
             Maria-Florina Balcan, Carnegie Mellon University, USA
             Mikhail Belkin, The Ohio State University, USA
             Avrim Blum, Carnegie Mellon University, USA
             Ulf Brefeld, Max-Planck Institute, Germany
             Leo Breiman, University of California at Berkeley, USA  
             Chris Burges, Microsoft Research, USA
             Olivier Chapelle, Max-Planck Institute, Germany
             Ira Cohen, Hewlett-Packard Research Labs, USA
             Fabio Cozman, University of Sao Paulo, Brazil
             Thomas G. Dietterich, Oregon State University, USA
             Jerome H. Friedman, Stanford University, USA
             Jianfeng Gao, Microsoft Research, USA
             Rayid Ghani, Accenture Technology Labs, USA
             Sally A. Goldman, Washington University in St. Louis, USA
             Geoffery E. Hinton, University of Toronto, Canada
             Thorsten Joachims, Cornell University, USA
             Michael I. Jordan, University of California at Berkeley, USA
             James Kwok, University of Hong Kong of Science and Technology, China
             John Lafferty, Carnegie Mellon University, USA
             Nada Lavrac, Jozef Stefan Institute, Slovenia
             Hang Li, Microsoft Research Asia, China
             Tie-Yan Liu, Microsoft Research Asia, China
             Andrew McCallum, University of Massachusetts Amherst, USA  
             Tom Mitchell, Carnegie Mellon University, USA  
             Andrew W. Moore, Carnegie Mellon University, USA
             Kamal Nigam, Intelliseek Inc., USA  
             Partha Niyogi, University of Chicago, USA
             Ross Quinlan, University of New South Wales, Australia
             Bernhard Schölkopf, Max-Planck Institute, Germany
             Matthias Seeger, Max-Planck Institute, Germany
             S. Sathiya Keerthi, Yahoo! Research, USA
             Vikas Sindhwani, University of Chicago, USA
             Ian H. Witten, University of Waikato, New Zealand
             Qiang Yang, University of Hong Kong of Science and Technology, China
             Chengxiang Zhai, University of Illinois at Urbana-Champaign, USA
             Zhongfei (Mark) Zhang, State University of New York, USA
             Dengyong Zhou, Microsoft Research, USA
             Zhi-Hua Zhou, Nanjing University, China
             Jerry Zhu, University of Wisconsin-Madison, USA
             Alexander Zien,  Max-Planck Institute, Germany
 
Upcoming Conferences  [Full List]
              The 8th IEEE International Conference on Data Mining (ICDM'08)                                    Deadline: Jul.  7,  2008
              The 9th SIAM International Conference on Data Mining  (SDM''08)                                  Deadline: Oct.. 25, 2008