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Chong Jin Ong: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong
    A Machine Learning Approach for the Curation of Biomedical Literature. [Citation Graph (0, 0)][DBLP]
    ECIR, 2003, pp:597-604 [Conf]
  2. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
    A Unified Loss Function in Bayesian Framework for Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:51-58 [Conf]
  3. Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith
    Feature Selection Using SVM Probabilistic Outputs. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:782-791 [Conf]
  4. Elmer G. Gilbert, Chong Jin Ong
    New Distances for the Separation and Penetration of Objects. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:579-586 [Conf]
  5. S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert
    EquiDistance Diagram: A New Roadmap Method for Path Planning. [Citation Graph (0, 0)][DBLP]
    ICRA, 1999, pp:682-687 [Conf]
  6. Chong Jin Ong, Elmer G. Gilbert
    Robot Path Planning with Penetration Growth Distance. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:2146-2152 [Conf]
  7. Chong Jin Ong, Eugene Huang
    An Incremental Version of Growth Distance. [Citation Graph (0, 0)][DBLP]
    ICRA, 1998, pp:3671-3677 [Conf]
  8. L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, X. J. Fu, H. P. Lee
    Developing parallel sequential minimal optimization for fast training support vector machine. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:70, n:1-3, pp:93-104 [Journal]
  9. Chong Jin Ong
    On the Quantification of Penetration between General Objects. [Citation Graph (0, 0)][DBLP]
    I. J. Robotic Res., 1997, v:16, n:3, pp:400-409 [Journal]
  10. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
    Bayesian Trigonometric Support Vector Classifier. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:9, pp:2227-225 [Journal]
  11. S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh
    A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:93-94 [Journal]

  12. Feature selection for support vector regression using probabilistic prediction. [Citation Graph (, )][DBLP]


  13. Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion. [Citation Graph (, )][DBLP]


  14. Constrained linear system under disturbance feedback: Convergence with probability one. [Citation Graph (, )][DBLP]


  15. Linear systems with chance constraints: Constraint-admissible set and applications in predictive control. [Citation Graph (, )][DBLP]


  16. An extended command governor for constrained linear systems with disturbances. [Citation Graph (, )][DBLP]


  17. Distributed model predictive control of dynamically decoupled linear systems with coupled cost. [Citation Graph (, )][DBLP]


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