国际捕鲸委员会的监督人员会被安置到每一艘船上，对捕鲸活动做记录，并获得DNA样本，以追踪鲸肉去向。
IWC monitors would be placed aboard every vessel to document the kill and take DNA samples, so the meat can be traced.
静脉切割技术专业主要学习在医生和其他医护专业人员的监督下，采集使用各种侵入性患者的血液样本。
Phlebotomy technician students learn. under the supervision of physicians and other health care professionals. to draw blood samples from patients using a variety of intrusive procedures.
然而，传统的监督学习算法需要标记大量的训练样本来建立满意的分类器。
However, traditional supervised learning techniques typically require a large number of labeled examples to learn an accurate classifier.
半监督聚类通过利用少量有标号样本或成对约束等监督信息来提高聚类性能。
Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
方法2006 ~ 2007年各生产企业、市售商品共16个品牌58份桶装饮用水作为监督检验样本。
Methods: 16 commercial brands of 58 Bottled drinking water samples were tested as an oversight from the production enterprises from 2006 to 2007.
针对现有的无监督异常检测技术的不足之处，提出了一种基于样本分布异常数据实例度量方法。
Aiming at the weaknesses of current unsupervised anomaly detection techniques, a measurement approach about samples distribution of anomaly data is proposed.
基于图的学习是近几年来半监督学习中一个相当活跃的方向，它用图来描述样本空间，利用近邻点的位置来控制标记信息的传播。
Graph-based learning is a very active direction of semi-supervised learning in recent years. It describes the sample space by graph, and USES neighbors to spread label information in point cloud.
使用半监督学习方法中的自训练、协同训练方法，利用少量已标注样本和大量未标注样本来完成蛋白质关系抽取的任务。
Semi-supervised learning methods including self-training and co-training were shown in the task of PPI on how to alleviate the tag burden as much as possible.
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。
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.
就已有样本而言，敌意收购并没有完全有效的发挥出其外部监督的作用，对收购方企业的绩效改善没有显著作用；
As far as the samples existed now concerned, hostile takeover doesn't play the role of exterior supervising effectively as a whole.
如何利用未标记的视频样本信息达到类似于全监督学习的效果是半监督学习方法的关键。
How to make the effect of semi-supervised learning closed to or the same to the supervised learning by unlabeled samples information is the key of semi-supervised learning method.
在无监督学习中，只向网络提供一些学习样本，而不提供理想的输出。
In unsupervised learning, only learning to network with some samples, rather than provide an ideal output.
IRIS数据检验表明，未确知均值聚类算法误判样本数少、收敛速度快、鲁棒性好，是一种实用、有效的无监督聚类算法。
The data of IRIS indicates that the algorithm possesses the better convergence, better robustness and it is an unsupervised clustering algorithm.
遥感图像分类方法通常采用监督的学习算法，它需要人工选取训练样本，比较繁琐，而且有时很难得到；而非监督学习算法的分类精度通常很难令人满意。
The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.
试验表明，只要样本空间映射合理，这种自组织无监督的神经网络具有很好的自学习功能，在工程中具有广泛的应用前景。
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
现有的张量维数约简方法大都是监督的，它们不能有效利用未标签样本数据的信息。
Due to the supervised view of point, most of the present tensor dimensionality reduction methods cannot take full advantage of the unlabeled data.
现有的张量维数约简方法大都是监督的，它们不能有效利用未标签样本数据的信息。
Due to the supervised view of point, most of the present tensor dimensionality reduction methods cannot take full advantage of the unlabeled data.
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