unsupervised feature learning 无监督特征学习
feature learning clustering 特征学习聚类
Adversarial Feature Learning 对抗特征学习
multi-task feature learning 多任务特性学习
Feature of Motor Skill Learning 动作技能学习的特征
feature weight learning 特征权学习
learning feature 学习特征
feature weight learning algorithm 属性权重学习算法
self-learning feature map 自学习特征映射算法
And we extend the feature learning clustering algorithm into database with categorical attributions.
并将特征学习聚类拓展到具有类属性数据聚类中。
参考来源 - 聚类中的特征学习研究Six dimensions could be very important for rule come into being of category leaning. The structure of category dimensionality has impact on example learning and feature learning.
推理式学习方式下,类别维度数量的变化对样例学习有显著影响,对特征学习有显著影响,6维度类别可能是规则形成的临界点。
参考来源 - 材料维度数量和结构复杂性对类别学习的影响·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
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