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KDD Cup 2009 |
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| Fast Track | Slow Track | |
|---|---|---|
| 1st prize |
IBM ResearchEnsemble Selection for the KDD Cup Orange Challenge |
University of MelbourneUniversity of Melbourne entry |
| 2nd prize |
ID Analytics, Inc KDD Cup Fast Scoring on a Large Database |
Financial Engineering Group, Inc. Japan Stochastic Gradient Boosting |
| 3rd prize |
Old dogs with new tricks (David Slate, Peter W. Frey) None |
National Taiwan University, Computer Science and Information Engineering Fast Scoring on a Large Database using regularized maximum entropy model, categorical/numerical balanced AdaBoost and selective Naive Bayes |