This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
Extensive comparisons have shown that support vector machines obtain good generalization performance on various data sets.
大量的对比实验已经表明支持向量机在很多问题上获得了良好的推广能力。
The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.
支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。
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。
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。
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。
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。
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。
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(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。
In this paper we present an improved dimensionality reduction method based on support vector machines.
提出了一种基于支持向量机的改进的降维方法。
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。
This paper firstly investigates the application of support vector machines for medical image classification.
本文首次采用支持向量机方法对医学图像进行了分类研究。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
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。
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。
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。
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。
Applied support vector machine to foundation engineering, and proposed support vector machine method to compute the foundation bearing capacity.
将支持向量机方法应用到地基工程中，提出了计算地基承载力的支持向量机方法。
Our tests show that the veracity and stability of support vector machine are both obviously superior to the traditional linear classifying methods.
多组试验表明，支持向量机方法的准确性和稳定性较传统线性分类方法均具有明显优势。
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。
It is proposed a fuzzy forecast control method based on support vector machine. The applications of the machine to the train start-up control are given.
提出支持向量机-模糊预测控制方法，介绍支持向量机在列车启动控制过程中的应用。
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。
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。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.
基于统计学习理论的支持向量机是一类新型的机器学习算法，由于它出色的学习性能，该技术已经成为当前学术界的研究热点。
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。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
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