Re: Reducing feature sets with cross-entropy
[email protected] ("Ken Williams")
| Newsgroups | perl.ai |
|---|---|
| Message-ID | <[email protected]> |
[email protected] (John Porter) wrote: >Ken Williams wrote: >> one suggestion was to use cross-entropy >> measurements to reduce the number of features (words) considered. > >Um, have you tried a web search? Seems to me there's a fair >amount of info out there... At YAPC, it was decided that this list would be the proper place to discuss collaboration on the AI::Categorize modules. We decided that because there would perhaps be interested people on this list who wouldn't otherwise know that the work is going on, and also because it seems like exactly the kind of thing that the list was created for. If discussion gets out of control (which would probably be more than the current traffic of 1-3 messages perl week), we can fork it off to a new list. So with my original message, I'm mainly just trying to see whether anyone's interested in discussing the ideas. And I'm willing to do some reading and searching - Per Jambeck has pointed me to a comparative article by Yiming Yang that looks like a good place to start. You're right that there are a lot of resources to be found in a web search, but most of it is about very specific applications - perhaps introductory material is best found in a textbook. ------------------- ------------------- Ken Williams Last Bastion of Euclidity [email protected] The Math Forum