![]() ![]() Zhu, Machine Learning at Microsoft with ML.NET, KDD ‘19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. We can see my published documents in reverse chronological order: In addition to browsing my ACM publication JAWAA editor, and in 2002 onward the totally new JFLAP 4.0.ĭescriptions and links to some of the software I wrote during my academicĬareer, both undergraduate and doctorate, can be viewed at at my page of Susan Rodger onĬomputer science education visualization tools. While I was an undergrad at Duke, I worked with Dr. Working on the technical aspects of an interactive art/music exhibition. Learning, data mining of the survey data from Project FeederWatch, and In addition to my thesis topic, my graduate work has included supervisedĬlustering, learning ranking, loopy MRF learning, approximate structural ![]() ![]() Theory and empirical understanding to this area. Learned models are of inconsistent quality, and my thesis sought to provide new Guarantees of structured learning algorithms no longer hold and in practice the When using approximations many of the theoretical With structured outputs in domains requiring approximation inference algorithms, As a graduate student my area of research was learning functions I received my PhD from Cornell University under my advisor, Thorsten
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