Chun-Fu Chang

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KDD Cup 2010 is an educational data mining competition. Participants are asked to learn a model from students' past behavior and then predict their future performance. At National Taiwan University, we organized a course for KDD Cup 2010. Most student sub-teams expanded features by various binarization and discretization techniques. The resulting sparse(More)
Linear Classification has achieved complexity linear to the data size. However, in many applications, data contain large amount of samples that does not help improve the quality of model, but still cost much I/O and memory to process. In this paper, we show how a Block Coordinate Descent method based on Nearest-Neighbor Index can significantly reduce such(More)
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