Publikationen von CS Ong

Schweikert, G.; Zeller, G.; Behr, J.; Dieterich, C.; Ong, C.; Philips, P.; De Bona, F.; Hartmann, L.; Bohlen, A.; Krüger, N. et al.; Sonnenburg, S.; Rätsch, G.: mGene: Accurate SVM-based gene finding with an application to nematode genomes. Genome Research 19 (11), S. 2133 - 2143 (2009)

Schweikert, G.; Behr, J.; Zien, A.; Zeller, G.; Ong, C.; Sonnenburg, S.; Rätsch, G.: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research (London) 37 (Supplement 2), S. W312 - W316 (2009)

Ben-Hur, A.; Ong, C.; Sonnenburg, S.; Schölkopf, B.; Rätsch, G.: Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology 4 (10), e1000173 (2008)

Sonnenburg, S.; Braun, M.; Ong, C.; Bengio, S.; Bottou, L.; Holmes , G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C. et al.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent, P.; Weston, J.; Williamson, R.: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research 8, S. 2443 - 2466 (2007)

Schulze, U.; Hepp, B.; Ong, C.; Rätsch, G.: PALMA: mRNA to Genome Alignments using Large Margin Algorithms. Bioinformatics 23 (15), S. 1892 - 1900 (2007)

Ong, C.; Smola, A.; Williamson, R.: Learning the Kernel with Hyperkernels. The Journal of Machine Learning Research 6, S. 1043 - 1071 (2005)

Borgwardt, K.; Ong, C.; Schönauer, S.; Vishwanathan , S.; Smola, A.; Kriegel, H.-P.: Protein function prediction via graph kernels. Bioinformatics 21 (Supplement 1), S. i47 - i56 (2005)

Ong, C.: Knowledge Discovery in Databases: An Information Retrieval Perspective. Malaysian Journal of Computer Science 13 (2), S. 54 - 63 (2000)

Dezfouli, A.; Ashtiani, H.; Ghattas, O.; Nock, R.; Dayan, P.; Ong, C.: Disentangled behavioural representations. In: Advances in Neural Information Processing Systems 32, S. 2243 - 2252 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc, F.; Fox, E. et al.). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09. Dezember 2019 - 13. Dezember 2019. Curran, Red Hook, NY, USA (2020)

Dinuzzo, F.; Ong, C.; Gehler, P.; Pillonetto, G.: Learning output kernels with block coordinate descent. In: 28th International Conference on Machine Learning (ICML 2011), S. 49 - 56 (Hg. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)

Canu, S.; Ong, C.; Mary, X.: Splines with non positive kernels. In: More Progresses in Analysis, S. 163 - 173 (Hg. Begehr, H.; Nicolosi, F.). 5th International ISAAC Congress 2005, Catania, Italy, 25. Juli 2005 - 30. Juli 2005. World Scientific, Singapore (2009)

Ong, C.; Zien, A.: An Automated Combination of Kernels for Predicting Protein Subcellular Localization. In: Algorithms in Bioinformatics: 8th International Workshop, WABI 2008, Karlsruhe, Germany, September 15-19, 2008, S. 186 - 197 (Hg. Krandall, K.; Lagergren, J.). 8th Workshop on Algorithms in Bioinformatics (WABI 2008), Karlsruhe, Germany, 15. September 2008 - 19. September 2008. Springer, Berlin, Germany (2008)

Ong, C.; Hartmann, L.; Bohnert, R.; Krüger , N.; Bohlen, A.; Rätsch, G.: Bootstrapping the alternative splicing annotation of newly sequenced genomes. In: Alternative Splicing: Special Interest Group Meeting (AS-SIG) at ISMB 2007, S. 33 - 35. Alternative Splicing: Special Interest Group Meeting (AS-SIG) at ISMB 2007, Wien, Austria, 19. Juli 2007 - 20. Juli 2007. (2007)

Zien, A.; De Bona, F.; Ong, C.: Training and Approximation of a Primal Multiclass Support Vector Machine. In: XIIth International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), 1 (Hg. Skiadas, C.). XIIth International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), Chania, Greece, 29. Mai 2007 - 01. Juni 2007. (2007)

Zien, A.; Ong, C.: Multiclass Multiple Kernel Learning. In: ICML '07: 24th International Conference on Machine Learning, S. 1191 - 1198 (Hg. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)

Rätsch, G.; Hepp, B.; Schulze, U.; Ong, C.: PALMA: Perfect Alignments using Large Margin Algorithms. In: German Conference on Bioinformatics 2006 (GCB 2006), S. 104 - 113 (Hg. Huson, D.; Kohlbacher, O.; Lupas, A.; Nieselt, K.; Zell, A.). German Conference on Bioinformatics (GCB 2006), Tübingen, Germany, 19. September 2006 - 22. September 2006. Gesellschaft für Informatik, Bonn, Germany (2006)

Ong, C.; Mary , X.; Cnu, S.; Smola, A.: Learning with Non-Positive Kernels. In: ICML '04: Twenty-First International Conference on Machine Learning, 81, S. 639 - 646 (Hg. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, 04. Juli 2004 - 08. Juli 2004. ACM Press, New York, NY, USA (2004)

Ong, C.; Smola, A.; Williamson, R.: Hyperkernels. In: Advances in Neural Information Processing Systems 15, S. 495 - 502 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

Rätsch, G.; Sonnenburg, S.; Ong, C.: Support Vector Machines and Kernels for Computational Biology. In 17th Annual International Conference on Intelligent Systems for Molecular Biology and 8th European Conference on Computational Biology (ISMB/ECCB 2009), AM3. 17th Annual International Conference on Intelligent Systems for Molecular Biology and 8th European Conference on Computational Biology (ISMB/ECCB 2009), Stockholm, Sweden, 27. Juni 2009 - 02. Juli 2009. (2009)

Schweikert, G.; Zeller , G.; Zien, A.; Behr, J.; Sonnenburg, S.; Philips , P.; Ong, C.; Rätsch, G.: mGene: A Novel Discriminative Gene Finder. In 2008 Topics Meeting: Worm Genomics and Systems Biology. 2008 Topics Meeting: Worm Genomics and Systems Biology, Cambridge, MA, USA, 24. Juli 2008 - 25. Juli 2008. (2008)