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Those are two great examples. I've heard of KNN, but I will certainly be looking into KSVM! My personal recommendation is the Naive Bayesian Classifier: http:

by rwolf 17y ago

Those are two great examples. I've heard of KNN, but I will certainly be looking into KSVM! My personal recommendation is the Naive Bayesian Classifier: http://en.wikipedia.org/wiki/Naive_Bayes_classifier http://en.wikipedia.org/wiki/Naive_Bayes_classifier http://www.paulgraham.com/spam.html http://www.paulgraham.com/spam.html

pgbovine 17y ago
peter norvig has a great chapter in the O'Reilly book "Beautiful Data" about using naive bayes + a ton of data mined from the web to do fairly good natural language processing. one of his recent themes has been "naive algorithms + lots of training data can often beat sophisticated algorithms + little data" i dunno if his article is online somewhere, though.
- seiji 17y ago
  Doesn't look like the chapter is free, but the code and data is hiding out at http://norvig.com/ngrams/ http://norvig.com/ngrams/
- rwolf 17y ago
  The O'Reilly book "Collective Intelligence" is another nice resource for Naive Bayes. I picked it up because of a sidebar describing an improvement I didn't find online (something about a Chi distribution...I'm in a different town than my bookshelf today).