...您可以在Wikipedia上了解到此条目的英文信息 Feature learning Thanks, Wikipedia. 特征学习(Feature Learning)作为机器学习的组成部分,主要用于对数据的特征进行理解,从而帮助建立更好的模型。
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无监督特征学习 unsupervised feature learning
学习特征 Study characteristic
自主性学习特征 Characteristics of Autonomous Learning
性别特征的社会学习论 social learning theory of sex typing
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
总结说来,这些应用皆显示我们提出的成对特征学习演算法,可大幅增进分类准确率。
In summary, all these experiments demonstrate the improvement in accuracy by using the proposed paired feature learning in an AdaBoost classification framework.
学习风格似乎并不是我们所有人都有的遗传特征。
It doesn't really seem like learning styles are an inherited trait that we all have.
学习者的注意力需要集中在重要特征上。
The learner's attention needs to be directed to the significant features.
Second thing, we started talking about the periodic table and I believe that it's a hallmark of any educated person in the 21st century who is technically literate to know the periodic table by heart.
第二点,我们之前讨论过元素周期表,我相信这是个标志性的特征,对于那些在21世纪里,用心去学习,元素周期表的人来说。
Typical characterization, not all the time, but typical characterization, is an algorithm that reduces the size of a problem by one, or by some constant amount each time, is typically an example of a linear algorithm.
我们学习过了线性算法,它的典型特征,不是通用的,但是比较典型的特征是,它是逐一减小问题的大小的,或者说是每次减小常数的大小。
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