Reducing feature sets with cross-entropy
[email protected] ("Ken Williams")
| Newsgroups | perl.ai |
|---|---|
| Message-ID | <[email protected]> |
Hi, I talked with a couple of people at YAPC about a couple of the AI::Categorize algorithms, and one suggestion was to use cross-entropy measurements to reduce the number of features (words) considered. I'm hoping that by now (now that I've got time to do some work) the right people have subscribed to this list, and can point me either to a good reference or discuss the ideas themselves. True? ------------------- ------------------- Ken Williams Last Bastion of Euclidity [email protected] The Math Forum