It's a two-for-one Paper-loving holiday bonanza!
Brandon Sherman presents Boruta - A System for Feature Selection (http://www.mimuw.edu.pl/~ajank/papers/Kursa2010.pdf).
"Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irrelevant to the classification problem. Even more, usually one cannot decide a priori which attributes are relevant. In this paper we present an improved version of the algorithm for identification of the full set of truly important variables in an information system."
Ryan Cox presents Maglev: A Fast and Reliable Software Network Load Balancer.
"Maglev is Google’s network load balancer. It is a large distributed software system that runs on commodity Linux servers. Unlike traditional hardware network load balancers, it does not require a specialized physical rack deployment, and its capacity can be easily adjusted by adding or removing servers."
Who What Where?
Big ups to Thomas Street (http://thomasstreet.com/) for hosting! Show up at 6:30 for food (banh mi and springs rolls) and talking; presentations and discussion of the papers will begin at 7:00.
Like all chapters of Papers We Love, we abide by and enforce the PWL Code of Conduct (https://github.com/papers-we-love/seattle/blob/master/code-of-conduct.md). Please give it a read, plan on conducting yourself accordingly, and involve one of the organizers if you have any concerns.