Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).
总结归纳了机器学习方法在目前生物信息学的应用，并对支撑向量机（SVM）算法的基本原理做了阐述；
Application of theory of support vector machine for forecasting link travel time is discussed.
主要探讨支持向量机理论在路段行程时间预测中的应用。
The results indicate that the support vector machine possesses extensive application prospects in processing earthquake precursory data.
研究结果表明，支持向量机方法在地震前兆数据处理中有着广泛的应用前景。
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。
This paper presents the Support Vector Machine and its application to modeling in the polyester industry. Several SVM Algorithms and their kernel functions are presented and compared.
本文主要讨论支持向量机方法在聚酯工业过程软测量建模中的应用，分析各类支持向量机算法、 参数及核函数的选择对建模精度的影响。
Support Vector Machine(SVM) is a new prospecting technique in remote sensing, and it's application has just begon in remote sensing geology.
支持向量机（SV）M引入遥感图像处理领域并逐步得到推广，但在遥感地质应用中则刚刚起步。
Now, support vector machine classifier we experienced has been transplanted to remote ECG diagnosis center. The feedback is being waited to improve the application.
目前，我们实验的支持向量机分类方法已经移植到了远程心电诊断中心，将根据反馈不断完善应用效果。
This paper presents the application of a recently-developed pattern classifier called support vector machine(SVM) in expressway incident detection.
文章采用一种新的模式识别技术——支持向量机（SVM），来进行高速公路的事件检测。
We also discussed the application of support vector machine in multivariate classification with some examples.
还对支持向量机在多元分类中的应用进行了讨论，并给出了实例。
Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).
目的探讨支持向量机（SVM）在肾综合征出血热（HFRS）发病率预测上的优势及应用前景。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
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