Criteria for Authorship

Revised April 2018

 

Anyone listed as Author on an ACM manuscript submission must meet all the following criteria:

  • they have made substantial intellectual contributions to some components of the original work described in the manuscript; and
  • they have participated in drafting and/or revision of the manuscript and
  • they are aware the manuscript has been submitted for publication; and
  • they agree to be held accountable for any issues relating to correctness or integrity of the work.

Other contributors may be acknowledged at the end of the paper, before the bibliography.

Prediction-Serving Systems

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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