Support Vector machine is a new method of machine learning.
支持向量机是一种新的机器学习方法。
This paper presents a recognition method of similar Chinese handwriting by support vector machine.
本文提出对手写相似汉字进行识别的支持向量机方法。
The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.
支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。
Support vector machine is a new kind of machine learning method.
支持向量机是一种新的机器学习方法。
Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.
支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。
Support vector machine (SVM) is a new machine learning technique.
支持向量机(SVM)是一种新型的机器学习方法。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
A new method of infrared spectrum analysis based on support vector machine for mixture gas was proposed.
介绍了一种基于支持向量机的混合气体红外光谱组分浓度和种类分析的新方法。
The prediction method of network delays based on support vector machine (SVM) was put forward.
进而提出了基于支持向量机(SVM)的网络延时预测方法。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.
提出了基于损失函数的模糊判决支持向量机算法，并与模糊样本支持向量机算法进行了比较。
This article presents a new method of plant classification of iris based on the support vector machine classification principle.
提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。
Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.
支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
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；
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。
Validating the effectiveness of support vector machine for handwritten digit recognition.
验证支持向量机用于手写数字识别的有效性。
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。
Support vector machine constructs an optimal hyperplane utilizing a small set of vectors near boundary.
支持向量机利用接近边界的少数向量来构造一个最优分类面。
In this paper, we presented support vector machine and applications in concept design.
本文研究了支持向量机及其在概念设计中的应用。
The applications of support vector machine are reviewed in DNA microarray.
就支持向量机在DNA微阵列的应用做一综述。
The cost of the training of support vector machine is too much, if we use thousands of support vectors directly, the computation time would be too long.
支持向量机的训练代价太大，如果直接把成千上万个特征向量直接用作训练，运算时间难以忍受。
The establishment of beast square support vector machine method and sliding time window is introduced.
介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法，来分析和精确控制迟滞系统。
A laser welding quality monitoring method is proposed, based on support vector machine.
提出了一种基于支持向量机的激光焊接质量监测方法。
How is the VC dimension of a support-vector machine related to its number of support vectors? Is there a formula relating these two quantities?
一个支持向量机的支持向量数相关的VC维是怎样的？有一个公式，关于这两个量？
Compared with the single suppo vector machine method, the support vector machine ensemble method has better classification accuracy.
模拟实验结果表明，该方法具有明显优于单一支持向量机的更高的分类准确率。
应用推荐