(See also the article from the Computerzeitung (in German): Informatikernachwuchs forscht nahe an Trends)

This is the result, places 1, 3, and 5 out of 97 student submissions (note how small the difference between second and third place is):

The complete list is available on the web site of the contest as a pdf document.

The winning method was the following (contact me for more information):

- data preprocessing with binning and slightly different methods for the different types of features (results in 123 new features)
- estimation of "naive Bayes" posterior probabilities for each feature using relative frequencies (conditional probability of class c given feature value for feature i)
- estimation of a log-linear model for the three classes using the maximum entropy approach (similar to multi-class logistic regression) with the feature posterior probabilities as new feature functions

We also submitted some other results as "non-students" that did not enter the competition and got places 1, 2, and 4 out of 15 submissions:

Daniel Keysers Last modified: Thu Apr 21 10:23:23 CEST 2005