Employee

May 2012
	Mo	Tu	We	Th	Fr	Sa	Su
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22	28	29	30	31	01	02	03

Cheng Soon Ong

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Articles (6):
•	Ben-Hur A , Ong CS , Sonnenburg S , Schölkopf B and Rätsch G (October-2008) Support Vector Machines and Kernels for Computational Biology PLoS Computational Biology 4(10: e1000173) 1-10.
•	Sonnenburg S , Braun ML , Ong CS , Bengio S , Bottou L , Holmes G , LeCun Y , Müller K-R , Pereira F , Rasmussen CE , Rätsch G , Schölkopf B , Smola A , Vincent P , Weston J and Williamson RC (October-2007) The Need for Open Source Software in Machine Learning Journal of Machine Learning Research 8 2443-2466.
•	Schulze U , Hepp B , Ong CS and Rätsch G (May-2007) PALMA: mRNA to Genome Alignments using Large Margin Algorithms Bioinformatics 23(15) 1892-1900.
•	Ong CS , Smola A and Williamson R (July-2005) Learning the Kernel with Hyperkernels Journal of Machine Learning Research 6 1043-1071.
•	Borgwardt KM , Ong CS , Schönauer S , Vishwanathan , Smola AJ and Kriegel H-P (June-2005) Protein function prediction via graph kernels Bioinformatics 21(Suppl. 1: ISMB 2005 Proceedings) i47-i56.
•	Ong CS (December-2000) Knowledge Discovery in Databases: An Information Retrieval Perspective Malaysian Journal of Computer Science 13(2) 54-63.
Conference papers (14):
•	Dinuzzo F , Ong CS , Gehler PV and Pillonetto G (July-2011) Learning output kernels with block coordinate descent 28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 49-56.
•	Ong CS and Zien A (September-2008) An Automated Combination of Kernels for Predicting Protein Subcellular Localization In: WABI 2008, 8th Workshop on Algorithms in Bioinformatics, Springer, Berlin, Germany, 186-197.
•	Zien A and Ong CS (June-2007) Multiclass Multiple Kernel Learning In: ICML 2007, 24th International Conference on Machine Learning, ACM Press, New York, NY, USA, 1191-1198.
•	Zien A , Bona FD and Ong CS (June-2007) Training and Approximation of a Primal Multiclass Support Vector Machine In: ASMDA 2007, 12th International Conference on Applied Stochastic Models and Data Analysis, 1-8.
•	Rätsch G , Hepp B , Schulze U and Ong CS (September-2006) PALMA: Perfect Alignments using Large Margin Algorithms In: GCB 2006, German Conference on Bioinformatics 2006, Gesellschaft für Informatik, Bonn, Germany, 104-113.
•	Canu S , Ong CS and Mary X (July-2005) Splines with non positive kernels In: 5th International ISAAC Congress, 5th International ISAAC Congress, World Scientific, Singapore, 1-10.
•	Ong CS , Mary X , Canu S and Smola AJ (July-2004) Learning with Non-Positive Kernels In: ICML 2004, Twenty-First International Conference on Machine Learning, ACM Press, New York, NY, USA, 81-81.
•	Ong CS , Smola AJ and Williamson RC (2003) Hyperkernels , 495-502.
•	Ong CS and Smola AJ (2003) Machine Learning with Hyperkernels , 568-575.
•	Wong FWMH , Supian ASM , Ismail AF , Lai WK and Ong CS (2001) Enhanced User Authentication through Typing Biometrics with Artificial Neural Networks and K-Nearest Neighbor Algorithm .
•	Tai SY , Ong CS and Abullah NA (October-2000) On Designing an Automated Malaysian Stemmer for the Malay Language In: Fifth International Workshop on Information Retrieval with Asian Languages, Fifth International Workshop on Information Retrieval with Asian Languages, ACM Press, New York, NY, USA, 207-208.
•	Ong CS , Wong F and Lai WK (2000) A High Resolution and Accurate Pentium Based Timer .
•	Ong CS and Lai WK (2000) Enhanced Password Authentication Through Typing Biometrics with K-Means Clustering Algorithm .
•	Maisuria K , Ong CS and Lai (1999) A Comparison of Artificial Neural Networks and Cluster Analysis for Typing Biometrics Authentication International Joint Conference on Neural Networks, 9999-9999.
Technical reports (2):
•	Zien A , Raetsch G and Ong CS : Towards the Inference of Graphs on Ordered Vertexes, 150, Max Planck Institute for Biological Cybernetics, Tübingen, (August-2006).
•	Zien A and Ong CS : An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization, 146, Max Planck Institute for Biological Cybernetics, Tübingen, (April-2006).
Theses (1):
•	Ong CS : Kernels: Regularization and Optimization, The Australian National University, Canberra, Australia, (2005). PhD thesis
Talks (3):
•	Schweikert G , Zeller G , Zien A , Behr J , Sonnenburg S , Philips P , Ong CS and Rätsch G (July-25-2008): mGene: A Novel Discriminative Gene Finder, Worm Genomics and Systems Biology meeting, Cambridge, USA.
•	Zien A and Ong CS (December-2007): An Automated Combination of Kernels for Predicting Protein Subcellular Localization, NIPS 2007 Workshop on Machine Learning in Computational Biology, Whistler, BC, Canada.
•	Schweikert G , Zeller G , Zien A , Ong CS , de Bona F , Sonnenburg S , Phillips P and Rätsch G (December-2006): Ab-initio gene finding using machine learning, NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Vancouver, BC, Canada.