2012 Fourth International Conference on Multimedia Information Networking and Security 2012
DOI: 10.1109/mines.2012.227
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The GCA for Groping of Learning in the Self-Regulated Chinese Teaching Platform

Abstract: This paper improves the learner model of the original remote Chinese teaching platform of self-regulated learning, and in the new model, we used the GCA algorithm to takes place the original birch algorithm on learners' model. The improved learner model made a deep division for the learning styles of remote learners, which provides favorable theoretical basis for clustering algorithm.

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“…Furthermore, it reduces irrelevant and redundant features in the candidate set, improving the generalization ability and reducing overfitting. The Re-Relief F algorithm [29] is a feature selection algorithm applied to multi-classification problems. This algorithm first calculates the distances from the sample to the nearest neighbor samples of different classes and the distances to the nearest neighbor samples of the same class.…”
Section: Feature Selection Algorithmmentioning
confidence: 99%
“…Furthermore, it reduces irrelevant and redundant features in the candidate set, improving the generalization ability and reducing overfitting. The Re-Relief F algorithm [29] is a feature selection algorithm applied to multi-classification problems. This algorithm first calculates the distances from the sample to the nearest neighbor samples of different classes and the distances to the nearest neighbor samples of the same class.…”
Section: Feature Selection Algorithmmentioning
confidence: 99%