从不同的学习场景看,SSL可分为四大类:1)半监督分类(Semi-Supervised Classification):在无类标签的样例的帮助下训练有类标签的样本,获得比只用有类标签的样本训练得到的分类器性能更优的分类器,弥补有类标签的样...
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Finally, combining balanced features selection and robust path regularization, we realize non-linear semi-supervised classification.4.
最后,在均衡特征选择的基础上结合鲁棒路径正则化,实现文本的非线性半监督分类。
参考来源 - 基于机器学习的高性能中文文本分类研究·2,447,543篇论文数据,部分数据来源于NoteExpress
The analysis of experimental data has proven that this algorithm has better effect on semi-supervised classification.
实验数据分析证明了该算法在进行半监督分类时具有比较好的效果。
For learning document classification on line, the paper gives the semi-supervised learning fuzzy ART model (SLFART) based on adaptive resonance theory and the models algorithm.
为了对在线学习文档进行分类,本文根据自适应谐振理论给出了一个半监督学习模糊art模型(SLFART)及其算法。
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