Neyman Seminar: Gaussian Mixture Learning in High and Low Dimension

Neyman Seminar: Gaussian Mixture Learning in High and Low Dimension

Neyman Seminar
Mar 18, 2015, 01:00 PM - 02:00 PM | 1011 Evans Hall | Happening As Scheduled
Misha Belkin, Department of Computer Science and Engineering, and Department of Statistics, The Ohio State University (Speaker)
The study of Gaussian mixture distributions goes back to the late 19th century, when Pearson introduced the method of moments to analyze the statistics of a crab population. Gaussian mixture modelling has since become one of the most popular tools of modeling and data analysis used extensively in speech recognition and many other fields. In recent years, there has been a significant amount of...