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Cheng Soon Ong: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola
    Learning with non-positive kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  2. Cheng Soon Ong, Alex J. Smola
    Machine Learning with Hyperkernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:568-575 [Conf]
  3. Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel
    Protein function prediction via graph kernels. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2005, pp:47-56 [Conf]
  4. Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson
    Hyperkernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:478-485 [Conf]
  5. Sock Yin Tai, Cheng Soon Ong, Noor Aida Abdullah
    On designing an automated Malaysian stemmer for the Malay language (poster session). [Citation Graph (0, 0)][DBLP]
    IRAL, 2000, pp:207-208 [Conf]
  6. Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson
    Learning the Kernel with Hyperkernels. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1043-1071 [Journal]
  7. Alexander Zien, Cheng Soon Ong
    Multiclass multiple kernel learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1191-1198 [Conf]

  8. Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. [Citation Graph (, )][DBLP]


  9. PALMA: Perfect Alignments using Large Margin Algorithms. [Citation Graph (, )][DBLP]


  10. Optimized expected information gain for nonlinear dynamical systems. [Citation Graph (, )][DBLP]


  11. Entropy and Margin Maximization for Structured Output Learning. [Citation Graph (, )][DBLP]


  12. An Automated Combination of Kernels for Predicting Protein Subcellular Localization. [Citation Graph (, )][DBLP]


  13. PALMA: mRNA to genome alignments using large margin algorithms. [Citation Graph (, )][DBLP]


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