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。
Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.
大部分数字识别的工作可以由神经网络来完成，但最近支持向量机也被证明可以在分类方面做得更好。
Many algorithms are used to create supervised learners, the most common being neural networks, Support Vector Machines (SVMs), and Naive Bayes classifiers.
创建监管学习程序需要使用许多算法，最常见的包括神经网络、Support Vector Machines (SVMs)和Naive Bayes分类程序。
In this class we discuss some results and open problems related to the construction and choice of the appropriate kernel functions for Support Vector Machines and Regularization Networks.
这堂课我们将讨论且提出有关支持向量机和调控网络建构与选择适当的核心函式运作的一些结果和问题。
This class, taught by the guest speaker, is devoted to the optimization problems underlying the implementation of Support Vector Machines.
这堂课将由授课的特别来宾讲解构成向量机执行基本原理的最佳化问题运用。
Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.
在此基础上，研究了用球结构支持向量机作分类器，对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
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。
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。
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 method of the electro hydraulic servo system identification modeling is presented based on support vector machines.
提出了电液伺服系统的支持向量机的辨识建模方法。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Thus we put the theory and method of Support Vector Machines to apply partner selection in this thesis.
因而，本文的另一项主要工作是将支持向量机的理论和方法引入盟友选择领域。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
It is a very challenging work to deal with large regression problems based on support vector machines.
基于支持向量机的大样本回归问题一直是一个非常具有挑战性的课题。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
The key problem of training support vector machines is how to solve quadratic programming problem, but for large training examples, the problem is too difficult.
训练支持向量机的本质问题就是求解二次规划问题，但对大规模的训练样本来说，求解二次规划问题困难很大。
Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions, small samples and uncertainty.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性，是一种极具潜力的高光谱遥感分类方法。
The theory of Support Vector Machines is presented.
阐述了模糊支持向量机的原理。
A face detection method based on a hierarchical support vector machines (SVM) presents improved methods for both of these problems.
提出了一种基于层次型支持向量机的正面直立人脸检测方法，在这两方面作了改进。
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。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
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。
Since extracting rules from support vector machines help to solve those problems, this area is becoming a hot topic in both machine learning and intelligent computing communities.
由于对支持向量机规则提取进行研究有助于解决上述问题，因此该领域正成为机器学习和智能计算界的研究热点。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning.
最小二乘支持向量机相比传统的支持向量机，丧失了解的稀疏性，影响了二次学习的效率。
Based on the theory and technique of the support vector machines, an assessment system was built.
基于支持向量机的理论和技术，构建了换档质量评价系统。
The paper presents a method of Chinese chunk recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning.
本文研究了一种支持向量机(SVM)和基于转换的错误驱动学习相结合的汉语组块识别方法。
To solve the problem of lack of fault engine sample, support vector machines, which is a method based on small sample theory is applied.
针对这一缺陷，将基于小样本理论的支持向量机学习方法应用到发动机的故障诊断中。
To solve the problem of lack of fault engine sample, support vector machines, which is a method based on small sample theory is applied.
针对这一缺陷，将基于小样本理论的支持向量机学习方法应用到发动机的故障诊断中。
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