为此,提出一种基于三协同训练(Tri-training)的入侵检测算法.使用大量未标记数据,通过3个分类器对检测结果进行循环迭代训练,避免交叉验证.
基于12个网页-相关网页
... 协同学 synergetics 协同训练 coordinated training; coordination training 协同专业化 coordinated specialization ...
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协同增量训练 Co-operative training incrementally
Based on Self-Training , Co-Training and Low Density Separation, first builds initial classifiers using labeled samples, then improve themselves using unlabeled samples recursively.
分别应用自我训练和协同训练,低密度分割,首先利用少量已标注样本进行训练学习,建立初始分类器,然后利用大量未标注样本不断新分类器,从而提高分类器的性能。
参考来源 - 基于半监督学习的遥感影像分类On the other side, to improve the training method of classifier, this thesis presents a new cooperative training classification algorithm, which cooperates TFIDF and NB classifers to combine labeled and unlabeled documents.
另一方面，从改进传统的分类算法训练分类器的方式入手，本文提出一种新的协同训练分类算法，利用TFIDF分类器协同NB分类器进行增量训练已标记和未标记文档。
参考来源 - 文本分类算法及其应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
本文在分析了EM算法的基础上，提出了一种新的协同训练算法。
After analysis of em algorithm, we presented a new cooperative training algorithm based on incremental learning.
提出一种基于多分类器协同训练的遥感图像检索方法，该方法在不同特征集上分别建立分类器，利用不同分类器的协同性自动标记未知样本，从而有效解决了小样本问题。
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
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