sdfdsf

In-Cooperation proceedings are grandfathered into the ACM Digital Library only where ACM previously indexed and served full text of said event for a minimum of 3 (three) consecutive years, either as publisher or with appropriate permissions from another publisher.


All other in-cooperation event proceedings must apply to ACM’s ICPS program and follow its rules if they want to be published in the DL.


If an in-cooperation event proceedings is not published in the ACM Digital Library, it may be indexed there as long as the publisher provides ACM with the full metadata ACM requires for indexing. (See sample
 

November 12, 2015

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. 

Publish with ACM

ACM's prestigious conferences and journals are seeking top-quality papers in all areas of computing and IT. It is now easier than ever to find the most appropriate venue for your research and publish with ACM.

Publish your work