Chris Bourke, Kun Deng, Stephen D. Scott, Robert Schapire, and N. V. Vinodchandran. "On reoptimizing multi-class classifiers." Machine Learning. 71.2 (2008): 219-242 <http://www.springerlink.com/content/plk5puh8767...>
Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Osugi and Brandon Mueller. "Kernels for Generalized Multiple-Instance Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence. 30.12 (2008): 2084-2097 <http://ieeexplore.ieee.org/iel5/34/4359286/0442...>
Qingping Tao and Stephen Scott. "Improved MCMC Sampling Methods for Estimating Weighted Sums in Winnow with Application to DNF Learning." Machine Learning. 73.2 (2008): 107-132
Cory L. Strope, Stephen D. Scott and Etsuko N. Moriyama. "Indel-Seq-Gen: A New Protein Family Simulator Incorporating Domains, Motifs, and Indels." Molecular Biology and Evolution. 24.3 (2007): 640-649 <http://mbe.oxfordjournals.org/cgi/content/abstr...>
Papers in Conference Proceedings:
Kun Deng, Chris Bourke, Stephen Scott, Julie Sunderman, and Yaling Zheng. "Bandit-Based Algorithms for Budgeted Learning." Seventh IEEE International Conference on Data Mining. (2007): 463-468
Matthew Culver, Deng Kun, Stephen Scott. "Active Learning to Maximize Area Under the ROC Curve." Sixth IEEE International Conference on Data Mining. (2006): 149-158
Deng Kun, Christopher Bourke, Stephen Scott, Vinod Variyam. "New Algorithms for Optimizing Multi-Class Classifiers via ROC Surfaces." The Third Workshop on ROC Analysis in Machine Learning. (2006): 17-24
Technical Reports:
Kun Deng, Chris Bourke, Stephen D. Scott, Robert E. Schapire, and N. V. Vinodchandran. On Reoptimizing Multi-Class Classifiers. 12/12/2006. Download:TR-UNL-CSE-2006-0017
