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一篇很好的论文,重点介绍了支持向量机的工程应用-a good thesis focuses on the Support Vector Machine Application
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已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下的具体算法;第三,从UCI(University of Ca
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介绍了支持向量机的原理及应用，总结了CMSVM使用经验,Support Vector Machine introduced and application of the principle, summed up the experience CMSVM
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关于数据挖掘中SVM，支持向量机的学习课件，都是PPT，内容详实，可作为讲课与学习的参考资料。-Data mining on the SVM, support vector machine learning courseware are PPT, informative, can be used as reference for lectures and learning.
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一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
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08和07年IEEE TRANSACTION的关于小波支持向量机的2篇文献.是多尺度方法在模式识别中的经典,请大家共享.-08 and the 2007 IEEE TRANSACTION on wavelet support vector machine literature 2. Is a multi-scale method in the classical pattern recognition, please share.
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支持向量机导论，是用英文版翻译过来的，详细介绍了SVM的原理和应用-An Introduction to Support Vector Machine, is translated in English, detailing the principles and application of SVM
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使用支持向量机分割指纹图像的方法研究与实现-Using support vector machine method of fingerprint image segmentation and Implementation
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introduction to support vector machine
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这是基于Matlab的支持向量机工具箱的叙述，里面详细介绍了在matlab开发环境下对支持向量机的说明和使用-This is based on the Matlab support vector machine tool box of the narrative, is introduced in detail in the Matlab environment development of support vector machine instructions and use
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利用谱聚类方法在特
征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
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Support Vector Machine (and Statistical Learning Theory) Tutorial by Jason Weston
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An introduction to Support Vector Machine implementations in MATLAB (MATLAB Workshop)
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提出了一种支持矢量机的汉语声调识别新方法。论文首先在基频和对数能量的基础上，建立了一个适合于支
持矢量机分类的等维声调特征。然后对支持矢量机的多分类策略和不同核函数对声调识别的影响进行了实验研究。
与BP神经网络相比，支持矢量机具有更高的识别率和更强的推广能力。-This paper presents a novel support vector machine based Chinese tone recognition method．A
new tone recognition
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Crime hot-spot location prediction is important for public safety. The output from the prediction
can provide useful information to improve the activities aimed at detecting and preventing
safety and security problems. Location prediction is a sp
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使用支持向量机进行非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式，
求解二次规划时调用了优化工具箱的quadprog函数。-Support Vector Machine for Nonlinear Regression
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Machine Learning is considered as a subfield of Artificial Intelligence and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms development of algorithms which enable the machine to learn
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Improving Support Vector Machine classifier with differentkernel function for plant diseases detection1
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Improving Support Vector Machine classifier with different kernel function for plant diseases detection v 2
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Improving Support Vector Machine classifier with different kernel without figure
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