So a novel promising machine learning technique specifically developed for analyzing little amount of samples, SVM (Support Vector Machine), will be more suitable in practical industrial application.
因此在实际的工程应用中，支持向量机（SVM）作为一种新型的小样本建模分析工具是更适合的。
A liveness check algorithm based on body temperature measurement model using SVM (support vector machine) is proposed.
提出了一种基于支持向量机体温检测模型的活性判别算法。
Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.
将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。
The SVM (Support vector Machine) classifies the data by mapping the vector from low-dimensional space to high-dimensional space using kernel function.
而SVM(支持向量机)引进核函数隐含的映射把低维特征空间中的样本数据映射到高维特征空间来实现分类。
This paper presented a traffic sign recognition algorithm based on SVM (support vector machine).
本文提出一种基于支持向量机的交通标志识别算法。
Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.
摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。
Then the SVM(support vector machine) is used to make prediction considering the per capita disposable income, load factor, aircraft movement and so on.
然后加入北京市人均可支配收入、正班客座率、飞机起降架次等因素，采用支持向量机的方法做出预测。
A runoff prediction model was developed based on the multiple quantity index of SVM (support vector machine) method.
利用最小二乘支持向量方法，构建了基于多因子量化指标的径流预测模型。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
The system USES a statistical-based model based on SVM (Support Vector Machine) to recognize chunks from Chinese sentences.
阐述了基于统计的SVM(支持向量机)模型的汉语句子组块识别。
On the last part of ear recognition, the author attempts to employs the method of SVM (Support Vector Machine), which has some superiority in small sample biometric recognition.
在人耳识别的最后部分尝试探索使用在小样本识别中具有很大优势的支持向量机方法。
On the last part of ear recognition, the author attempts to employs the method of SVM (Support Vector Machine), which has some superiority in small sample biometric recognition.
在人耳识别的最后部分尝试探索使用在小样本识别中具有很大优势的支持向量机方法。
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