Machine Learning based on experimental data has become the focus of currently study in many industries.
基于数据的机器学习问题已经成为目前许多行业应用于研究的重点。
Finally, the machine learning based frame is combined with the existing registration arithmetic to complete the elastic registration of stereo NMR brain images.
最后将基于机器学习的框架和现有的配准算法相结合，完成立体核磁共振脑图像弹性配准。
As one algorithm of the machine learning based on the statistical learning theory, Support Vector machine (SVM) is specifically to the small samples learning case.
支持向量机是一种基于统计学习理论的机器学习算法，能够较好地解决小样本的学习问题。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
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。
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。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
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。
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。
Margin-based algorithms which use the large margin principle for feature selection have already played a crucial role in current machine learning research.
利用最大余量原理的特征选择算法在目前的机器学习研究中已经占据了重要的地位。
For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.
在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。
There has been recent interest in the application of machine learning techniques to neuroimaging-based diagnosis.
最近比较热门的研究室在神经影像诊断中引入计算机智能技术。
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。
Software Quality Prediction Based on Machine Learning is an effective way to improve software reliability.
基于机器学习的软件缺陷预测是一种有效的提高软件可靠性的方法。
Support vector machine (SVM) is a novel and powerful learning method which is derived based on statistical learning theory (SLT) and the structural risk minimization principle.
建立在统计学习理论基础之上的支持向量机(SVM)，是一种基于结构风险最小的小样本机器学习方法。
Web document classification assigns labels to web documents based on machine learning techniques.
网页分类是使用机器学习的方法实现网页类别的自动标注。
In addition to the recognition method based on machine learning, we researched the character recognition method base on deformable templates too.
除了上述基于学习的字符识别方法外，我们还对可变形模板字符识别技术进行了研究。
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。
It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
本课程涵盖了语法、语意及对话处理模型，著重在机器学习或是以语料库为基础的方法及演算法。
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。
The existence and construction of resilient functions in Encryption and the intelligentized improvement based on Machine Learning in IDS are the focus of information security.
密码技术中弹性函数的存在性与构造问题和入侵检测技术中基于机器学习的智能化改进是目前信息安全领域中的研究热点。
After many researches, the thesis represents a novel algorithm to extract text from natural scenes, which is based on machine learning.
本文经过大量研究，提出了一种基于学习的自然场景中文本提取算法。
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。
Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
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 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。
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。
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