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Thursday, November 30, 2017

GraphXD Seminar: Data-Driven Methods for Learning Sparse Graphical Models

Seminar | November 30 | 5:30-7 p.m. | 1011 Evans Hall


Somayeh Sojoudi, EECS, Mechanical Engineering

Berkeley Institute for Data Science


Learning models from data has a significant impact on many disciplines, including computer vision, medical imaging, social networks, neuroscience and signal processing. In the network inference problem, one may model the relationships between the network components through an underlying inverse covariance matrix. Learning this graphical model is often challenged by the fact that only a small...   More >