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A simple/fast stacking box layout library.

LRMC ibis is a stacking Ibis that adds multicast to an underlying implementation that may not have it

Parent pom for the eviline artifacts. Eviline is a block-stacking game that uses an AI to work against you.

Stacking dummy Ibis is a stacking IPL implementation; that is, it adds some capability to an underlying IPL implementation, in this case nothing, but it illustrates how to write a stacking IPL

Webapp that handles high scores and multiplayer. Eviline is a block-stacking game that uses an AI to work against you.

Implements StackingC (more efficient version of stacking). For more information, see A.K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. In: Nineteenth International Conference on Machine Learning, 554-561, 2002. Note: requires meta classifier to be a numeric prediction scheme

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier. Predictions are made via majority vote, since all the generated base classifiers are put into the Vote meta classifier. Useful for base classifiers that are quadratic or worse in time behavior, regarding number of instances in the training data. For more information, see: Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.