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- Using different train sample sets, the simulation experiment result demonstrates that the RVM method has more advantages than support vector machine method. 采用不同训练样本集的仿真实验结果表明，相关向量机方法比支持向量机方法具有更多的优点。
- To classify the collectivity, uaually a training sample is needed.The classification and statistical indexes of the training sample are known. 为了对总体分类，一般应该有训练样本，它的分类和统计指标都是已知的。
- An automatic text categorization mechanism based on CBR was presented,the training sample library was converted to the case library and the document was classified by KNN. 文中提出了一种基于CBR的文本自动分类方法,先用聚类方法把训练样本库转换为范例库,然后用KNN思想分类。
- The method divides theoriginal data into two parts in term of "close" degree between the original sample and forecast sample: one is initial sample, the other is training sample. 本方法对原有的样品数据根据与待预测样品的关系的“密切”程度分为两个部分,一部分是初始样品,一部分是训练样品。
- The denominator of generally neural network output often tends to be zero,leading to infinite loop when training sample data.The reliability of results is debased. 常规神经网络在当训练样本时分母项易趋于0,导致运算进入死循环,降低了结果的可信度。
- The calculation result indicates that the calculation model of water pump performance based on SVM is pithily and the model can be set up with a small amount of train samples. 结果表明，基于支持向量机建立的水泵性能计算模型具有一定的简洁性，只需要知道少量的训练样本就能建立数学计算模型；
- To boost the recognition performance in this one training sample application scenario, we extract context information as another cue for recognizing people. 为了在这单一训练样本的情况下提高人脸分类的识别性能，我们亦由输入的照片集中，萃取出前后文讯息，来做为分类判断的另一种线索。
- For a multifactor power load prediction problem and typical training sample selection, a new method for Short-Term Load Forecasting (STLF) based on data mining is put forward. 针对电力负荷受到多因素的影响以及典型训练样本选择问题,提出了一种基于数据挖掘技术的新型短期负荷预测方法。
- This text forecast to same 24 group data and compare of the result, have put forward that chose different training sample according to different periods of subsiding. 对同样的24组数据进行了预测,经过对预测结果的对比分析,提出了根据不同的沉降时期选取不同训练样本的方法。
- The experimental results on ORL face database show that the proposed method is effective and promising in face recognition with single training sample per person. 在ORL国际标准人脸库上进行的实验表明了所提算法的可行性和有效性。
- The tour will be accompanied by a trained nurse. 该旅行团将由一名受过专门培训过的护士陪同。
- Also, this method used the way of supervising, select training sample's centroid to be the centroid's of connotative nodes, make training sample's sorts as the numbers of nodes. 利用该方法对小词表汉语孤立词进行语音识别。
- All the seat-covers on the train had been torn by vandals. 列车上所有的椅套都被蓄意破坏者撕破了。
- The train is attacked by guerilla. 火车受到游击队的袭击。
- The boys were spitting out of the train window. 那些男孩子向火车窗外吐口水。
- Mary would rather travel by train than by plane. 玛丽宁可乘火车而不愿乘飞机旅行。
- I haven't got a clue about the train schedule. 我一点都不知道这个列车时刻表。
- What I need is nothing but a sample. 我需要的不过是一件样品而已。
- The children are playing with a toy train. 孩子们正在玩一列玩具火车。
- Our seats on the train were back to back. 我们在火车上的坐位是背靠背的。
