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pop@ams.org |
Machine Learning, Statistics, and Discovery Sunday, June 22 - Thursday, June 26, 2003 Xiaotong
Shen, Ohio State University Machine learning is an active and rapidly growing area of research that offers systematic and machine-implementable approaches to extracting information from vast and complex data sources. The goal of this conference is to assemble researchers from the disciplines of computer science and statistics around the topical themes of support vector machines and other large margin classifiers, boosting and ensemble methods, new extensions of classification and regression, methods for approximate inference, and application areas. We anticipate a lively exchange between the two communities, which we hope will lead to cross-fertilization and new collaborations across traditional academic disciplines. Young researchers, graduate students, and underrepresented groups are encouraged to attend, as they may be the most capable of forming lasting "bridges" across the two cultures in the future. |
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