Graph-based semi-supervised learning 基于图的半监督学习
Applications of semi-supervised learning 半监督学习的应用
Semi-Supervised Learning with Ladder Network 利用梯形网络进行半监督式学习
Supervised & semi-supervised learning 监督和半监督学习
a semi-supervised learning model 半监督的学习模型
Semi-Supervised Active Learning 半监督主动学习
semi-supervised machine learning 半指导机器学习
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。
The ANN can derive a continuous-spread stability index to indicate the relative stability degree by means of a semi-supervised learning algorithm.
使用一个半监督学习算法,ANN可产生一个能够指示相对稳定度的连续分布的暂态稳定指标。
So, the semi-supervised learning method by learning a small number of labeling samples and a large number of samples to establish classifier came into being.
如此,通过对少量已标记样本和大量未标记的样本进行学习从而建立分类器的半监督学习方法应运而生。
应用推荐