More on Bayesian Spam Filtering

michaeld writes "The "Bayesian" techniques for spam filtering recently publicized in Paul Graham's essay A Plan for Spam doesn't actually seem to have anything Bayesian about it, according to Gary Robinson (an expert on collaborative filtering). It is based on a non-Bayesian probabilistic approach. It works well enough, because it is frequently the case that technology doesn't have to be 100% perfect in order to do something that really needs to be done. The problem interested Robinson, and he posted his thoughts about trying to fix the problems in the Graham approach, including adding an actual Bayesian element to the calculations."

Comments

Tutorial on Bayesian Inference

[rbrito]

The timing of this article seems impecable, since I am myself trying to learn about Bayesian Statistics.

I am a Computer Science student studying Computational Biology (more specifically, Sequence Alignments) and while I have a bit of background on Classical Statistics, I was (and still am) completely ignorant about Bayesian Statistics.

It is only now that I'm trying to learn about Hidden Markov Models and its applications to Sequence Alignment that Ifinally decided to learn the basic hypothesis about Bayesian Statistics and how it differs from the hypothesis made by the Classical Statistics.

During my searches for finding introductory material on Bayesian Statistics, I found this course page which has some nice introductory notes, including Bayesian Statistics.

I hope that other people find this resource as useful as I did.