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37. Classifier4J - Classifier4J
- classifier4j.sourceforge.net
- It comes with an implementation of a Bayesian classifier, and now has some other features, including a text summary facility. ...
38. Jon Udell: Working with Bayesian categorizers
- weblog.infoworld.com
- Working with Bayesian categorizers.
- There's been some discussion in the blog world about using a Bayesian categorizer to enable a person to discriminate along various interest/non-interest axes. ... Full story: O'Reilly Network: Working with Bayesian Categorizers This month's O'Reilly Network column was a struggle because categorization itself is a struggle. ...
- Update: Interesting comment from Larry O'Brien: Jon appears to be doing something dangerously more ambitious, which is creating a Bayesian categorizer that assigns Jon-meaningful categories (email, collaboration, family, etc. ... I say "dangerously more ambitious" because Jon's approach would seem to require a lot of supervision, while the genius of Bayesian spam-filtering is that pressing a button marked "Delete as spam" is no more onerous than deleting the spam in the first place. Similarly, a Bayesian RSS aggregator that just attempted to categorize "Will this item be read, will this item be clicked-through, will this item be deleted without pause?" requires no more supervision than what is natural to the task of RSS browsing. ...
39. A Plan for Spam
- www.paulgraham.com
- An improved algorithm is described in Better Bayesian Filtering. ...
- In fact, I've found that you can filter present-day spam acceptably well using nothing more than a Bayesian combination of the spam probabilities of individual words. Using a slightly tweaked (as described below) Bayesian filter, we now miss less than 5 per 1000 spams, with 0 false positives.
- But the real advantage of the Bayesian approach, of course, is that you know what you're measuring. ... The Bayesian approach assigns an actual probability. ...
- Because it is measuring probabilities, the Bayesian approach considers all the evidence in the email, both good and bad. ...
- I thought I was being very clever, but I found that the Bayesian filter did the same thing for me, and moreover discovered of a lot of words I hadn't thought of.
- I'm more hopeful about Bayesian filters, because they evolve with the spam. So as spammers start using "c0ck" instead of "cock" to evade simple-minded spam filters based on individual words, Bayesian filters automatically notice. Indeed, "c0ck" is far more damning evidence than "cock", and Bayesian filters know precisely how much more.
- To beat Bayesian filters, it would not be enough for spammers to make their emails unique or to stop using individual naughty words. ... And the spammers would also, of course, have to change (and keep changing) their whole infrastructure, because otherwise the headers would look as bad to the Bayesian filters as ever, no matter what they did to the message body. ...
- Of all the approaches to fighting spam, from software to laws, I believe Bayesian filtering will be the single most effective. ...
- It's that fact, together with the equally characteristic vocabulary of any individual user's mail, that makes Bayesian filtering a good bet.
- I don't expect this second level of filtering to be Bayesian. ...
- You could use a Bayesian filter to rate the site just as you would an email, and whatever was found on the site could be included in calculating the probability of the email being a spam. ...
40. Bayes Net Toolbox for Matlab
- www.ai.mit.edu
- A brief introduction to Bayesian Networks .
- Sequential/batch Bayesian parameter learning (for fully observed tabular nodes only). ...
- Bayesian structure learning, using MCMC or local search (for fully observed tabular nodes only). ...
41. Better Bayesian Filtering
- www.paulgraham.com
- Spam filtering is a subset of text classification, which is a well established field, but the first papers about Bayesian spam filtering per se seem to have been two given at the same conference in 1998, one by Pantel and Lin 2 , and another by a group from Microsoft Research 3 .
- If people had been onto Bayesian filtering four years ago, why wasn't everyone using it? When I read the papers I found out why. ...
- When I tried writing a Bayesian spam filter, it caught 99. ...
- So their numbers may not even be an accurate measure of the performance of their algorithm, let alone of Bayesian spam filtering in general.
- But at this stage it is more a measure of the bugs in my implementation than some intrinsic false positive rate of Bayesian filtering.
- Algorithms that use it are called ``naive Bayesian. ...
- If you were doing Bayesian filtering in a situation where the ratio of spam to nonspam was consistently very high or (especially) very low, you could probably improve filter performance by incorporating prior probabilities. ...
- ``A Bayesian Approach to Filtering Junk E-Mail. ...
42. JavaBayes 0.346 - User Manual and Download
- www.cs.cmu.edu
- Bayesian Networks in Java.
43. AiLab.si
- magix.fri.uni-lj.si
- The naive Bayesian classification method we will implement in this lesson uses standard naive Bayesian algorithm also described in Michell: Machine Learning, 1997 (pages 177-180). ...
44. Pulcinella Home Page
- iridia.ulb.ac.be
- (1988) An Axiomatic Framework for Bayesian and Belief-Function Propagation. ...
45. K-State Laboratory for Knowledge Discovery in Databases (KDD)
- www.kddresearch.org
- > Bayesian Network Tools in Java (BNJ) .
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