Category Archives: Computer Science

The Allure of the Asymmetrical

By Ethan | Published: March 28, 2010
Thoughts on code asymmetry, as inspired by the lowly egg. Although I’ve lived in Charlottesville for quite a while now, I haven’t really taken advantage of the numerous and various local farms. This is perhaps odd, given my health-obsessive nature, and our local prevalence of natural, grass-fed animal products. But whatever the impediment to my action [...]
Also posted in C, Clojure | Tagged , , , | 1 Comment

Analyzing Word Frequencies with Clojure, Enlive and Incanter

By Ethan | Published: March 8, 2010
I’ve long been interested in getting a better feel for Incanter, a statistical computing and graphical environment for Clojure. So gifted with the fleeting favors of my muse (otherwise known as free time), I thought I’d put together a small library — although it’s not quite a library, yet — for analyzing word-use patterns on blogs and webpages. To do [...]
Also posted in Clojure, Uncategorized | Tagged , , , | 1 Comment

Gajure Now on Clojars

By Ethan | Published: February 22, 2010
Gajure, my small genetic algorithm framework, is now up on Clojars. Hopefully, this should make it much more convenient to use in a real project. I also added Leiningen support, and if you use Clojure with any frequency, I’d recommend checking that out.
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The Tweeting Narcissist

By Ethan | Published: December 31, 2009
I’ve been playing a bit with the Sinatra web framework, and after some intermittent coding, I ended up with a toy project I’m calling the Narcissist Quotient. It may seem that I’m poking fun at of Twitter’s ego-centric bent, and perhaps this is true. It is equally possible, however, that my design is to satirize [...]
Also posted in Ruby | Tagged , , , | 1 Comment

Slowly Programming in R

By Ethan | Published: December 12, 2009
Recently, I coded up a cross validation function in R, and things were moving rather less quickly than I would have liked. (The purpose of c.v. is to assess how well one’s statistical analysis will generalize to an independent data set.)  Anyhow, I was implementing 10-fold cross validation, and with a dataset containing around 100,000 observations, my [...]
Also posted in R Programming Language | Leave a comment

For the Autodidact

By Ethan | Published: October 8, 2009
I recently stumbled upon several good (and free) books. All in pdf format: Linear Algebra (Jim Heffron) Statistics (Michael Lavine) A Field Guide to Genetic Programming (Riccardo Poli, William B Langdon, Nicholas Freitag McPhee) Neural Networks (Raul Rojas) Introduction to Computing (David Evans)
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