Face detection based on hierarchical SVM;
层次型支持向量机人脸检测器
Intrusion detection technology is dealt with based on SVM method with exposure in network security can actively reduce the number of the sample in the limited time,improve the ability of the classification in intrusion dete.
基于支持向量机(SVM)对网络的安全漏洞扫描构建的网络入侵检测,减少了有限的时间训练样本数,能有效提高入侵检测的分类性能,以更短响应时间做出更准确的检测判断。
Design of vehicle weighing module based on support vector machine
基于支持向量机的车载称重模块设计
Time sequence analysis/ prediction method used to support vector machine and Neural Network in fire service field was analyzed.
介绍了对于火灾事故的基于支持向量机和神经网络的时间序列分析/预测方法,并在试验仿真的基础上指出神经网络模型和支持向量模型的适用范围及其局限性。
The Improved approach has been proposed based on the structural equivalence of radial basis function (RBF) network and Support Vector Machines (SVM).
本文提出了一种改进的神经网络板形模式识别方法,该方法基于支持向量机(SVM)与径向基(RBF)网络的结构等价性,利用SVM的回归确定RBF网络较优的初始参数,解决了传统神经网络模式识别方法存在的网络学习时间长,易陷入局部极小值等问题。
Convergence in probability of sequences of random vector function;
一类随机向量函数序列的依概率收敛性
In this paper, we figure the correlative degree, relevant properties of two random vectors with matrix mode.
采用矩阵的方式来描述两个随机向量的相关程度、有关性质。
It is an important content of the multivariate analysis to study the relationship of random vectors.
多元分析的一个重要内容就是研究随机向量之间的关系。
This article spreads the Slutsky theorem on random vectors.
本文对Slutsky定理在随机向量上进行了推广。
R(x_1,…,x_k∶x_k+1)and R(x_1,…,x_k·x_k+1)of K groups of random vectors with comparisons of these coefficients made in a number of situation as well.
定义多组随机向量之间的条件相关系数和两种形式的偏相关系数Ｒ（ｒ＿１，…，ｘ＿ｋ：ｘ＿ｋ＋１）与Ｒ（ｘ＿１，…，ｘ＿ｋ·ｘ＿ｋ＋１），并将三者进行了比较。
…,ξ_n are n random vectors defined on the same probability space (Ω,(?),P).
对于概率空间(Ω,,P)上的n(n>2)个随机向量ξ_1,ξ_2,…ξ_n,给出了其不相互独立,但其中任意r(2≤r≤n-1)个相互独立的充要条件。
BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM.
球向量机是一种比SVM更快的机器学习方法。
Support Veltor Machines Based on Hull Vectors and Center Vectors
基于壳向量和中心向量的支持向量机
Rough Set-based One-class Support Vector Machine
粗糙one-class支持向量机
Incremental Learning Algorithm of Support Vector Machine Based on Vector Projection;
基于向量投影的支持向量机增量学习算法
The Research on SVM Technology Oriented Data Mining;
面向数据挖掘的支持向量机技术研究
Research of Flight Segment Volume Forecasting Based on Support Vector Machine;
基于支持向量机的航段运量预测研究
The Soft-Sensing of Aluminum Powder Rate Based on Support Vector Machine
基于支持向量机的铝粉细粉率软测量
An Application of Support Vector Machines for Bisphenol A Soft Sensor
支持向量机在双酚A软测量中的应用
Tunnel rock quality ranks based on support vector machine
隧洞岩体质量分级的支持向量机方法
Product quality model based on wavelet relevance vector machine
基于小波相关向量机的产品质量模型
Dynamic Soft Sensor Modeling Based on Multiple Relevance Vector Machines
基于多关联向量机的动态软测量建模
Application of Support Vector Machine in Forecast of Grain Yield
支持向量机在粮食产量预测中的应用
Internet Traffic Classification Using Support Vector Machine
基于支持向量机的Internet流量分类研究
Gas Quantitative Analysis Based on Support Vector Machine
基于支持向量机的混合气体定量分析
Environmental quality evalution based on SVM
基于支持向量机的环境质量评估方法
Study on Application of Machine Learning Based on Support Vector Machine;
支持向量机在机器学习中的应用研究
Rotating Machinery Failure Diagnosis Based on Support Vector Machine;
基于支持向量机的旋转机械故障诊断
Core Vector Machine in Application of Large-Scale Machine Learning
核向量机在大规模机器学习中的应用
Research on Machine Fault Based on Support Vector Machine
基于支持向量机的机床故障诊断研究