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。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
SVM is a novel powerful machine learning method developed in the framework of Statistical Learning Theory (SLT).
支持向量机是在统计学习理论基础上开发出来的一种新的、非常有效的机器学习方法。
Give out a explanation based machine learning method and how to apply it into extracting computer Go life-death knowledge.
给出了基于解释的机器学习方法在电脑围棋死活知识学习中的应用。
In order to improve the diagnosis accuracy, machine learning method was proposed to construct the breast cancer diagnosis model.
为了提高胸癌诊断的识别精度，提出了应用机器学习方法建立胸癌诊断模型。
Using machine learning method to learn image features and to automatically construct models for image classes is a promising way.
使用机器学习方法学习图像特征，自动建立图像类的模型成为一种有效的方法。
As a new machine learning method, SVM can solve the small sample, nonlinear, high dimension and local minima, the actual problem.
作为一种新的机器学习方法，SV M能较好地解决小样本、非线性、高维数和局部极小点等实际问题。
Reinforcement learning is an important machine learning method. However, slow convergence has been one of main problem in practice.
强化学习是一种重要的机器学习方法，然而在实际应用中，收敛速度缓慢是其主要不足之一。
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location.
针对基于属性向量的非线性配准算法，提出用机器学习的方法寻找脑图像中各个点上的最优几何特征向量。
Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
支持向量机是一种基于统计学习理论的机器学习方法，它解决了神经网络中存在的一系列问题。
Absrtact: Support vector machine is a kind of new machine learning method. This method has good generality capability and better classification accuracy.
摘要：支持向量机是一种新的机器学习方法，它具有良好的推广性和分类精确性。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
Because of introducing the machine learning method in the recognition of splice sites of the eukaryotic DNA, the recognition rate of splice sites is largely heightened.
由于在真核基因剪接位点的识别中引入了机器学习方法，剪接位点的识别率有了大幅度的提高。
Using "all-versus-all" policy is better than "one-versus-rest" policy for classifying homo-oligomers based on the same machine learning method (such as support vector machine).
对于多类蛋白质同源寡聚体分类，基于相同的机器学习方法（如支持向量机） ，采用“一对一”策略比“一对多”效果好。
The Support Vector machine (SVM) is a new machine learning method based on the statistical learning theory and it is very useful to solve nonlinear problems of short time series.
支持向量机(SVM)方法是基于统计学理论的一种新的机器学习方法，对解决小样本条件下的非线性问题非常有效。
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。
But the new method is the first to predict the outcomes of court cases by automatically analysing case text using a machine learning algorithm.
但是，这一新途径是首次通过机器学习算法自动分析案件文本，来预测法庭判决结果。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
Through analyzing a number of illegal harmful contents in information on the Internet, a new method is presented which recognizes specific information on the Internet by Machine Learning.
本文根据网络文本中有害内容的特点，提出了通过机器学习识别特定内容并过滤的新方法。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。
Support vector machine is a new learning method based on VC theory, good generalization is required by minimizing the upper abound of expected risk.
支持向量机是一种基于VC理论的创造性学习方法，它能够使期望风险最小化，具有较强的推广能力。
Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
Support Vector machine is a kind of new machine studying method, which is based on Statistical Learning Theory.
支持向量机是基于统计学习理论的一种新的机器学习方法。
As we all know, KNN method is a classic method in machine learning field and is also well used in many other fields.
众所周知，K最近邻方法作为机器学习领域的一个经典的方法，在很多领域都有出色的表现。
By using the method of fuzzy statistics, fuzzy knowledge can be quantified to achieve the purpose of machine learning.
通过模糊统计的方法，将模糊知识进行量化，达到机器学习的目的。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
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