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IBM Journal of Research and Development, Volume 56, Issue: 3.4, 2012 Original link: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=6177717 See TOC.pdf for full titles/authors.
Brendan T. O'Connor Associate Professor, College of Information and Computer Sciences Associate Director, Computational Social Science Institute University of Massachusetts Amherst Email: brenocon@cs.umass.edu Twitter: @brendan642 Room 238, Computer Science Building, 140 Governors Drive, Amherst, MA 01003 I am an associate professor in the College of Information and Computer Sciences at UMass Amhe
cognition, language, social systems; statistics, visualization, computation I was cleaning my office and found a back-of-envelope diagram Shay drew me once, so I’m writing it up to not forget. The definitions of the logistic-normal and log-normal distributions are a little confusing with regard to their relationship to the normal distribution. If you draw samples from one, the arrows below show
Cheat sheet for scala syntax anyall.org/scalacheat by brendan Since it's hard to search for scala syntactic constructions, hopefully this page might help. Note language coverage is incomplete. Source on github, pull requests welcome! Update: A version of this is now in the Scala documentation.
225 tweets/sec Eventually, I’ll want a purely in-memory, distributed table. That’s why I was interested in Memcached. But for development purposes, it’s very convenient to use an on-disk database. In the past I’ve used BerkeleyDB for this. (An SQL database is also possible but seems like overkill.) Ideally it would be nice to have a distributed key-value store with a heavy caching layer. Check out
nice place to have a meeting: Las Vegas in August Hah. Or rather, ouch! I had two thoughts reading this. (1) Poor statisticians. Machine learners invent annoying new terms, sound cooler, and have all the fun. (2) What’s wrong with statistics? They have way less funding and influence than it seems they might deserve. There are several issues going on here, both substantive and cultural: There might
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