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This is a blog on artificial intelligence and "Social Science++", with an emphasis on computation and statistics. My website is brenocon.com.
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Author Archives: brendano
Shalizi’s review of NKS
I laugh out loud every time I reread Cosma Shalizi’s review of “New Kind of Science” (2005). I remember reading it back in college when everyone was talking about the book, when I was just losing my naivete about the … Continue reading
Rough binomial confidence intervals
I made this table a while ago and find it handy: for example, looking at a table of percentages and trying to figure out what’s meaningful or not. Why run a test if you can estimate it in your head? … Continue reading
Poor man’s linear algebra textbook
I keep learning new bits of linear algebra all the time, but I’m always hurting for a useful reference. I probably should get a good book (which?), but in the meantime I’m collecting several nice online sources that ML researchers … Continue reading
Move to brenocon.com
I’ve changed my website and blog URL from anyall.org to brenocon.com. The former was supposed to be a reference to first-order logic: the existential and universal quantifiers are fundamental to relational reasoning, and as testament to that, they are enshrined … Continue reading
Please report your SVM’s kernel!
I’m tired of reading papers that use an SVM but don’t say which kernel they used. (There’s tons of such papers in NLP and, I think, other areas that do applied machine learning.) I suspect a lot of these papers … Continue reading
Interactive visualization of Mixture of Gaussians, the Law of Total Expectation and the Law of Total Variance
I wrote an interactive visualization for Gaussian mixtures and some probability laws, using the excellent Protovis library. It helped me build intuition for the law of total variance. Link
Greenspan on the Daily Show
I love this Daily Show clip with Alan Greenspan. On emotion and economic forecasting. From 2007. GREENSPAN: I’ve been dealing with these big mathematical models of forecasting the economy, and I’m looking at what’s going on in the last few … Continue reading
An ML/AI approach to P != NP
Like everyone, I’ve been just starting to look at the new, tentative, proof that P != NP from Vinay Deolalikar. After reading the intro, what’s most striking is that probabilistic graphical models and mathematical logic are at the core of the … Continue reading
Updates: CMU, Facebook
It’s been a good year. Last fall I started a master’s program in the Language Technologies department at CMU SCS, taking some great classes, hanging out with a cool lab, and writing two new papers (for ICWSM, involving Twitter: polls … Continue reading
quick note: cer et al 2010
Quick note, reading this paper from their tweet. update this reaction might be totally wrong; in particular, the conll dependencies for at least some languages were done completely by hand. Malt and MSTParser were designed for the Yamada and Matsumodo … Continue reading