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Papers That Cite This Data Set1:
 Qingping Tao Ph. D. MAKING EFFICIENT LEARNING ALGORITHMS WITH EXPONENTIALLY MANY FEATURES. Qingping Tao A DISSERTATION Faculty of The Graduate College University of Nebraska In Partial Fulfillment of Requirements. 2004. [View Context].
Michihiro Kuramochi and George Karypis. Finding Frequent Patterns in a Large Sparse Graph. SDM. 2004. [View Context].
Mikhail Bilenko and Sugato Basu and Raymond J. Mooney. Integrating constraints and metric learning in semi-supervised clustering. ICML. 2004. [View Context].
Qingping Tao and Stephen Scott and N. V. Vinodchandran and Thomas T. Osugi. SVM-based generalized multiple-instance learning via approximate box counting. ICML. 2004. [View Context].
Jianbin Tan and David L. Dowe. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Australian Conference on Artificial Intelligence. 2003. [View Context].
Aik Choon Tan and David Gilbert. An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics. APBC. 2003. [View Context].
Michael L. Raymer and Travis E. Doom and Leslie A. Kuhn and William F. Punch. Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 33. 2003. [View Context].
Mukund Deshpande and George Karypis. Evaluation of Techniques for Classifying Biological Sequences. PAKDD. 2002. [View Context].
Steven Eschrich and Nitesh V. Chawla and Lawrence O. Hall. Generalization Methods in Bioinformatics. BIOKDD. 2002. [View Context].
Andreas L. Prodromidis. On the Management of Distributed Learning Agents Ph.D. Thesis Proposal CUCS-032-97. Department of Computer Science Columbia University. 1998. [View Context].
Kai Ming Ting and Boon Toh Low. Model Combination in the Multiple-Data-Batches Scenario. ECML. 1997. [View Context].
Kuan-ming Lin and Chih-Jen Lin. A Study on Reduced Support Vector Machines. Department of Computer Science and Information Engineering National Taiwan University. [View Context].
Kai Ming Ting and Boon Toh Low. Theory Combination: an alternative to Data Combination. University of Waikato. [View Context].
Zoran Obradovic and Slobodan Vucetic. Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Samples. Center for Information Science and Technology Temple University. [View Context].
Daichi Mochihashi and Gen-ichiro Kikui and Kenji Kita. Learning Nonstructural Distance Metric by Minimum Cluster Distortions. ATR Spoken Language Translation research laboratories. [View Context].
Mehmet Dalkilic and Arijit Sengupta. A Logic-theoretic classifier called Circle. School of Informatics Center for Genomics and BioInformatics Indiana University. [View Context].
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