Machine Learning

Profs. Gerstlauer and John Receive Collaborative NSF Grant on Predictive Modeling for Next-Generation Heterogeneous Computer System Design

$1M grant to study application of machine learning techniques

Together with collaborators at the University of California, Riverside they have been awarded a $1M grant to study application of machine learning techniques for performance and power prediction in early design stages of future computer systems. 

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Texas ECE PhD Alum Jette Henderson Wins Best Student Paper at KDD MLMH workshop on Machine Learning for Healthcare

Jette Henderson

Texas ECE alumna Jette Henderson, who completed her PhD in August, received the Best Student Paper award for the paper "PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization" at the KDD MLMH Workshop on Machine Learning for Healthcare in London in August. Jette worked under the supervision of Texas ECE professor Joydeep Ghosh. The paper uses a special kind of tensor factorization that is guided by supporting evidence from PubMed, a huge repository of medical literature, to extract meaningful insights from electronic health records.

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