Which statement best describes the paradigm of “weakly supervised learning” in machine learning?哪一个是机器学习中“弱监督学习”范式的准确描述?
A.
It aims to learn some information from one, or only a few, training examples. 旨在从一个、或仅有的几个训练样本中学习一些信息。
B.
It aims to learn some information using a limited amount of training examples. 旨在采用有限数量的训练样本来学习一些信息。
C.
It is a class of supervised learning that also make use of unlabeled data for training. 属于有监督学习算法一类,此外还利用未标记数据进行训练。
D.
It is able to solve a task despite not having received any training examples of that task. 能够求解一个任务,即使没有得到该任务的任何训练样本。
E.
It receives a set of labeled data and makes predictions for all unseen data. 接收一组标注数据并对所有的未知数据做出预测。
F.
It receives exclusively unlabeled data and makes predictions for all unseen data. 仅仅接收未标注数据并对所有的未知数据做出预测。