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。
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。
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。
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。
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。
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。
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。
Support Vector machine is a new machine-learning method and has its unique advantages in pattern recognition because of outstanding learning performance and good capabilities in generalization.
支持向量机是一种全新的机器学习方法，其出色的学习性能和泛化能力强等方面的优势，在模式识别领域中有其独到的优越性。
Support Vector machine is a new machine-learning method and has its unique advantages in pattern recognition because of outstanding learning performance and good capabilities in generalization.
支持向量机是一种全新的机器学习方法，其出色的学习性能和泛化能力强等方面的优势，在模式识别领域中有其独到的优越性。
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