RE: [Classifier4j-devel] Bayesian Case Study

[Matt C. <MCo...@my...>]

> As a general point I'm not sure you are really going to find Bayesian
> classification a great match for deciding what kind of a document something
> is, simply because I don't think you can fairly compare the scores documents
> get in various categories and say if a score is higher in one than the other
> it is a better match.
> 
> For instance, if you have two categories (say Tax and Investments), then you
> can't say that the word "Tax" in a document means that it is not about
> "Investments".

If this is true, I would then ask you how and why POPFile is using a Bayesian 
algorithm to do exactly this?  Have they deviated somehow from a true Bayesian 
calculation?

The vector stuff sounds really cool too!  Can you have that working by next 
week?  :)

Matt