OEDM-09 Workshop Program

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2:00pm - 3:30pm Paper Session I	Mining of Attribute Interactions Using Information Theoretic Matrices Pritam Chanda, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. Feature Selection for Maximizing the Area Under the ROC Curve Ke Tang and Rui Wang. A New Stability Measure for Feature Selection Algorithms Jana Nononicova, Petr Somol and Pavel Pudi. An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy Chengying Miao. GLSVM: Integrating Structured Feature Selection and Large Margin Classification Hongliang Fei, Brian Quanz and Jun Huan. Nonconvex Bilevel Programming for Hyperparameter Selection Gregory Moore, Charles Bergeron and Kristin Bennett.
3:30pm - 4:00pm Invited Session I	Invited Talk Speaker: Prof. Sanjay Ranka,University of Florida Talk Title: Novel Mixture Models to Learn Complex Patterns in High-Dimensional Data
4:00pm - 4:30pm	Coffee Break
4:30pm - 5:30pm Paper Session II	Multiple Instance Transfer Learning Dan Zhang and Luo Si. Kernel K-means Based Framework for Aggregate Outputs Classification Shuo Chen, Bin Liu, Mingjie Qian and Changshui Zhang. Probabilistic Labeled Semi-supervised SVM Mingjie Qian, Feiping Nie and Changshui Zhang. Improving Multilabel Classification in Hierarchical Taxonomies Kunal Punera and Suju Rajan.
5:30pm - 6:00pm Invited Session II	Invited Talk Speaker: Prof. Chris Ding, University of Texas at Arlington Talk Title: Tensor Decompositions: New Clustering Capability and Error Bounds

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