# 640 search results for "parallel"

## Science at the speed of ligth

October 15, 2013
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May be is not going that fast, but at the speed of R at least. And R is pretty quick. This has pros and cons. I think that understanding the drawbacks is key to maximize the good things of speed, … Continue reading →

## Remembering the Gist, But Not the Details: One-Dimensional Representation of Consumer Ratings

October 13, 2013
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In survey research, it makes a difference how the question is asked.  "How would you rate the service you received at that restaurant?" is not the same as "Did you have to wait to be seated, to order your meal, to be served your food, or to pay yo...

## Fearsome Engines Part 2: Innovations and new features

October 13, 2013
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There are lots of R engines emerging! I’ve interviewed members of each of the teams involved in these projects. In part 1 of this series, we covered the motivation of each project. This part looks at the technical achievements and new features. Many of the innovations are performance improvements, reflecting the primary goal of several

## Stochastic Optimization in R by Parallel Tempering

October 12, 2013
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I’ve written a few posts now about using parallel tempering to sample from complicated multi-modal target distributions but there are also other benefits and uses to this algorithm. There is a nice post on Darren Wilkinson’s blog about using tempered posteriors for marginal likelihood calculations. There is also another area where parallel tempering finds application, The post Stochastic...

## October 24: 4th MilanoR meeting. Agenda

October 11, 2013
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October 24, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.45 Welcome presentation R and Microsoft Office Nicola Sturaro, Consultant at Quantide 18.45 - … Continue reading →

## Parallel Tempering in R with Rmpi

October 6, 2013
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$Parallel Tempering in R with Rmpi$

My office computer recently got a really nice upgrade and now I have 8 cores on my desktop to play with. I also at the same time received some code for a Gibbs sampler written in R from my adviser. I wanted to try a metropolis-coupled markov chain monte carlo, , algorithm on it to The post Parallel...

## Dealing with a stochastic fitness function in GA package

October 4, 2013
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Guest post by Kim Man Lui, PhD. (about GA – an R package for optimization using genetic algorithms) The GA package (version 2.0) is a generic package in which one can define his/her own functions of fitness, selection, crossover and mutation. Among those functions, the most important is the fitness. However, in the GA package, the fitness function has...

## R with Big Data on Hortonworks

October 1, 2013
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If you missed last week's webinar with John Kreisa from Hortonworks (hosted by Data Science Central), we described how R fits into the Modern Data Architecture. Not only can you extract and distil data in Hadoop with the open-source RHadoop project, but with the forthcoming release of Revolution R Enterprise 7 you will be able to run the high-performance...

## What’s the Most “Concave” State in the U.S.? Using R to Solve a Geography Puzzle

October 1, 2013
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This is a guest post by Todd Schneider and the original link is http://news.rapgenius.com/Atodd-whats-the-most-concave-state-in-the-us-using-r-to-solve-a-geography-puzzle-lyrics. The puzzle: find two points inside the United States such that Both points are in the same state The straight line segment (shortest great circle) connecting them crosses the largest number of distinct states This came up during a recent road trip through Pennsylvania, Maryland, West Virginia,...