University of Michigan

Rackham Interdisciplinary Workshop on Statistics and Machine Learning - Fall 2006

There have been significant developments in the field of applied regression and classification over the past 5-10 years, both in statistics and in other related areas such as machine learning and data mining. These developments are now being applied to medical diagnosis, bioinformatics and genetic modeling, chemical process control, shape, handwriting, speech and face recognition, financial modeling, and a wide range of other important practical problems. However, to some extent, the paradigms developed in statistics and in machine learning and data mining have been separated; the tools for analyzing and understanding methods in the two areas are also different. Both have merit and lead to interesting conclusions. We feel that integrating the two views has great potential benefit both from a research and an educational perspective. Hence we propose this workshop, which will focus on the interplay between statistics, machine learning and data mining.