Linear Support Vector Machine的意思|示意

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线性支持向量机


Linear Support Vector Machine的网络常见释义

线性支持向量机 ...线性支持向量机 [gap=1027]ds:fingerprint image segmentation; Fourier spectrum energy ratio; gray contract; linear support vector machine ...

支持向量机 ... 多层反馈(Multilayer Perceptron) 支持向量机(Linear support vector machine) 朴素贝叶斯(Naive Bayes) ...

Linear Support Vector Machine相关短语

1、 non-linear support vector machine 非线性支持向量机

Linear Support Vector Machine相关例句

The new type of linear reciprocating generator is studied by using the support vector machine (SVM) modeling method that features precisely realtime performance.

采用具有准确实时性的支持向量机(SVM)建模方法对新型直线振动发电机进行研究。

Experimental results indicate that the support vector machine performs a number of unique advantages in solving the small sample size, non-linear problems.

经过实验证明支持向量机在解决小样本、非线性问题中表现出很好的优势。

The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.

另外,支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。

To detect objects quickly, a new method is presented to construct a cascade of linear classifiers with L-SVM (Lagrangian Support Vector Machine, L-SVM).

为了实现目标的快速检测,提出了一种新的基于拉格朗日支持向量机(L - SVM)的线性级联式分类器的构造方法。

Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.

支持向量机是一种基于统计理论的机器学习算法,在解决小样本、非线性及高维模式识别中有独特的优势。

For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).

针对非线性问题,提出了基于支持向量机分类基础的先分类、再回归的预测方法。