SRC Grand Finalists 2010
Michal Tvarozek - Slovak University of Technology
Title of Submission: Personalized Exploratory Search in the Semantic Web
Title of Submission: RACBVHs: Random-Accessible Compressed Bounding Volume Hierarchies
Manasi Vartak - Worcester Polytechnic Institute
Grace Hopper 2009
Title of Submission: QueryOriented Relaxation for Cardinality Assurance
Diego Cavalcanti - Federal University of Campina Grande
Title of Submission: Improving Safety When Refactoring AspectOriented Programs
Eric Drewniak - Wheaton College
Title of Submission: Unsupervised Discovery of Motifs Under Uniform Amplitude Scaling and Shifting in Time Series Databases
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ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.
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