UCI statistician to moderate machine learning panel at AAAS Annual Meeting
Session to be held 3:30-5:00 p.m., Friday, Feb. 15, Washington 2 room, Marriott Wardman Park, Washington, D.C.
EVENT: Machine Learning and Statistics: Applications in Genomics and Computer Vision – a Scientific Session at the AAAS Annual Meeting in Washington D.C.
Symposium organizer Hal Stern, professor of statistics at the University of California, Irvine, will moderate. Subsessions: “Machine Learning and Statistics for Causal Inference,” David Blei, Columbia University, New York; “Machine Learning: The View from Statistics,” Genevera Allen, Rice University, Houston; “Machine Learning and Statistics: The View from Industry,” Kevin Murphy, Google Research, Mountain View, Calif.
WHEN/WHERE: 3:30-5:00 p.m., Friday, Feb. 15, Washington 2 room, Marriott Wardman Park, Washington, D.C.
INFORMATION: Large volumes of data have enabled the development and applications of novel tools like deep neural networks, support vector machines, and random forests. These techniques, often referred to as machine learning, have supported scientists in making sense of their data. They have also generated questions, such as the need to define machine learning and determine how machine learning differs from statistical methods. The presentations in this symposium examine these questions from the perspectives of computer science, statistics, and industry. Applications to be discussed include genomic analyses in biological science and approaches to computer vision.
Media planning to attend should contact Brian Bell at 949-824-8249 or [email protected]
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