Research

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My research interests are primarily in Machine Learning and Data Mining as listed below.

Research Interests

  • Mathematical Programming
  • Supervised and Semi-supervised Learning
  • Multi-Class Problems
  • Support Vector Machines
  • Kernel Classifiers

Publications

  • Vural, V., Fung, G., Krishnapuram, B., Dy, J. and Rao, B. (2007) Using Local Dependencies within Batches to Improve Large Margin Classifiers. Journal of Machine Learning Research (JMLR), to appear.

  • Vural, V., Fung, G., Dy, J. and Rao, B. (2006) Semi-supervised Classifiers using A-priori Metric Information. Optimization Methods and Software Journal, Special Issue on Mathematical Programming in Data Mining and Machine Learning, vol. 23, issue 4, p. 521-532. PDF

  • Vural, V., Fung, G., Krishnapuram, B., Dy, J. and Rao, B. (2006) Batch Classification with Applications in Computer Aided Diagnosis. Proceedings of the European Conference on Machine learning, vol. 4212, p. 449-460, Berlin, Germany (ECML).(Acceptance rate: 25.5%, among the 14.5% accepted as full papers) PDF

  • Vural, V. and Dy, J. (2004) A Hierarchical Method for Multi-class Support Vector Machines. In proceedings of The Twenty-First International Conference on Machine Learning (ICML), p. 831-838. (Acceptance rate: 32%, among the 17.7% unconditionally accepted papers.) PDF

  • Vural, V. and Dy, J. (2006) Batch Classification for Supervised Learning. The Seventeenth Annual Communications and Digital Signal Processing Center Research Workshop.

  • Vural, V. and Dy, J. (2004) Multi-class Methods for Support Vector Machines. The Fifteenth Annual Communications and Digital Signal Processing Center Research Workshop.

Patents