The classification ability was verified by support vector machines algorithm with various kernel functions.
采用不同核函数的支持向量机算法验证分类能力。
Support Vector Machines algorithm is a simple and effective classification method based upon statistical learning theory.
支持向量机是基于统计学习理论框架下的一种简单、有效的分类方法。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
The immune programming algorithm, inspired by the immune system of human and other mammals, was used to optimize the parameters of weighted support vector machines.
其中根据各样本重要性的不同，引入了加权支持向量机方法，然后利用免疫规划算法对其进行参数优化。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
给出了使用多支持向量机进行增量学习的算法。
In this paper a method of face recognition based on clustering algorithm and hierarchical support vector machines is presented.
提出一种基于聚类算法和层次支持向量机的人脸识别方法。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
Support Vector Machines(SVMs)is an algorithm of machine learning, which was widely used in many fields abroad.
支持向量机是一种机器学习算法，在国外已广泛应用于工程实践领域。
In this paper we propose a blind super-resolution image restoration algorithm based on Support Vector Machines (SVM).
本文提出了一种基于支撑向量机的盲超分辨率图像复原算法。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
Applying high order cumulants and support vector machines (SVM), an algorithm is proposed for automatic recognition of digital communication signals.
针对数字信号调制模式识别问题，提出了运用高阶累积量和二叉树支持向量机(SVM)进行自动识别的算法。
To conclude a sparse solution, we present an improved algorithm for Least Squares Support Vector Machines, and prove its effect by an experiment.
对原有的最小二乘支持向量机在稀疏性上进行了改进，并通过实验，对改进后的最小二乘支持向量机的分类效果进行了验证。
Zhao Hui and Rong Li-li. Classification algorithm based oncombined support vector machines and its application in textcategorization. Mini-Micro Systems, 2005,26(10):1816-1820.
赵晖，荣莉莉。支持向量机组合分类及其在文本分类中的应用。小型微型计算机系统，2005，26（10）：1816-1820。
Zhao Hui and Rong Li-li. Classification algorithm based oncombined support vector machines and its application in textcategorization. Mini-Micro Systems, 2005,26(10):1816-1820.
赵晖，荣莉莉。支持向量机组合分类及其在文本分类中的应用。小型微型计算机系统，2005，26（10）：1816-1820。
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