Early detection of Twitter trends explained

A couple of weeks ago on Halloween night, I was out with some friends when my advisor sent me a message to check web.mit.edu, right now. It took me a few seconds of staring to realize that an article about

Semi-Supervised Shape Classification with Manifold Regularization

For my Statistical Learning Theory class I did a project on shape classification using manifold regularization. You can read the abstract below. You can also find the paper here and the code here. We approach the problem of semi-supervised shape classification

Stan Explains Things: RANdom SAmple Consensus

I’ve decided to start writing briefly and informally about technical things, so that I could understand them better, and so that someone else might get some insight.  I’ll be writing these under the appropriately vague title of “Stan Explains Things”.

Teaching People to Teach Machines with Mechanical Turk

Mechanical Turk has proven to be a powerful tool for machine learning.  In particular, it makes it very easy to generate large amounts of training data for machine learning tasks.  For example, one can have Mechanical Turk workers transcribe recorded