e Samuel would be
interested in the first...but of course if actually the community need them
both :)
--- En date de : Mar 24.3.09, Ted Dunning a écrit :
> De: Ted Dunning
> Objet: Re: GSoC 2009-Discussion
> À: mahout-dev@lucene.apache.org
> Date: Mardi 24 Mars 2009, 0h07
> There
There are other algorithms of serious interest. Bayesian Additive
Regression Trees (BART) would make a very interesting complement to Random
Forests. I don't know how important it is to get a normal decision tree
algorithm going because the cost to build these is often not that high.
Boosted deci
2009 7:17:11 PM
> Subject: GSoC 2009-Discussion
>
> Hi,
> I just browsed through the idea list in GSoC 2009 and I'm interested
> to work in Apache Mahout.
> Currently, I'm doing my master project in my university related to
> machine learning + information retrieva
> [snip]
a web crawler. By doing this, a crawler, for instance, can use the
output of the classification to only follow certain links that lie on
informative content parts.
Is this interesting & make sense for you guys?
Hi Samuel. This would be of great interest for the Nutch folks, I thi
Hi,
I just browsed through the idea list in GSoC 2009 and I'm interested
to work in Apache Mahout.
Currently, I'm doing my master project in my university related to
machine learning + information retrieval. More specifically
it's about how to discover informative content in a web page by using
mac
