Last Day of Summer School

We'll talk about description logics, ontology matching and Markov Logic, and simple weight learning algorithms for ML. We'll also run some live experiments.

Here are the slides.

Fourth Day of Summer School

Markov logic, complexity of inference in graphical models, Sampling Methods, MaxWalkSAT, ILP

The slides are here.

Third Day of Summer School

First-order logic and undirected graphical models (aka Markov networks) are combined in Markov logic.

The updated slides are here.

Second Day of Summer School

We talked about probability theory, random variables, conditional independence, and Bayesian networks. We didn't quite get to undirected graphical models.

The slides are here.

Also, I mentioned Predictalot, Yahoo's combinatorial prediction market for the world cup. Here's the link. An interesting blog post about combinatorial prediction markets is here.

First Day of Summer School

As I promised I will also use this blog to upload my slides. Yesterday, I basically talked about my background, the motivation for knowing about and using Markov logic, and some basic propositional and first order logic.

Here are the slides of the first class

The other slides will be up at the end of each class at the latest.

I recommend participants of the class to download and install TheBeast. The link to the website is mentioned in the previous blog post.