Write your own Bayesian classifier (in whatever language you want)

Room:
White (#FFFFFF)
time:
Sat 5 pm

Let's talk about Bayesian classifiers. They're everywhere. They filter your spam, recommend new links, and categorize web pages.

Why are they so omnipresent? Because the math behind them is simple to understand, and simple to implement. So simple, in fact, that we'll do it in an hour.

I'll go over Bayes' theorem and how it relates to classification. I'll walk you through creating basic tokenization, training, and testing functions. Then we'll categorize stuff.

My implementation language will be Perl, but you're welcome to use whatever language you'd like.


Lead Presenter:
jmelesky
Prefered Session Time:
Saturday - Afternoon (2-5)
Saturday - Evening (5-10)
Saturday - Night (10-2)
Sunday - Morning (6-11)
Sunday - Afternoon (12-5)

Took a class at UWM on

Took a class at UWM on pattern classification, and here's the book we used

http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471056693.html

a great overview to many classification approaches.


oooo, i can not wait.

oooo, i can not wait.


I'm all about this stuff. We

I'm all about this stuff. We can do another session on an overview of a lot of other AI topics, if you want. I'm thinking stuff like neural networks, finite state machines, search algorithms, game playing algorithms, etc.


So much of that stuff

So much of that stuff requires more of a background than we can generally assume; i chose Bayes as a topic precisely because it's accessible.

That said, i'm happy to chat about other things we could present.