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svm
SVM方法的基本思想是:定义最优线性超平面,并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理,通过非线性映射φ,把样本空间映射到一个高维乃至于无穷维的特征空间(Hilbert空间),使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序,即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分:1
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OFDM_FOR_WIRELESS_COMM_SYS
An E-BOOK on OFDM basics and PAPR reduction Techniques
- 2011-01-03 17:30:25下载
- 积分:1
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one_possion1
求解一维热方程。空间方向采用四阶差分格式,时间方向采用bvm法(Solving one-dimensional heat equation. Spatial orientation difference scheme with fourth order, the time direction by bvm method)
- 2011-01-04 14:40:55下载
- 积分:1
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functionzRR
说明: %code2_1 for lecture 1 Simpson s rule ( Code2_1 for lecture 1 Simpson s rule)
- 2006-03-15 21:34:34下载
- 积分:1
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lunwenfig4_11
这为一个通过频域重构方法获得SAR信号点目标的MATLAB仿真软件,是微波成像雷达领域的一个极好的软件(This is a reconstruction obtained by frequency domain SAR signal point target MATLAB simulation software, is the field of microwave imaging radar, an excellent software)
- 2011-09-18 19:04:58下载
- 积分:1
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Matlabjieweifen(ODEPPDE)
matlab解微分方程的方法,从常微分开始,比较详细(matlab solutions of differential equations)
- 2014-12-29 09:25:54下载
- 积分:1
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power_flow
解power flow CODE(學電力系統必備的東西)(內含詳細註解)(Solution of power flow CODE (learn something essential power systems) (includes detailed annotations))
- 2008-04-21 17:12:25下载
- 积分:1
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psd_my
matlab中AR模型功率谱估计中AR阶次的实现(matlab power spectral estimation of AR model order of the realization of the AR)
- 2011-09-30 16:05:36下载
- 积分:1
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paper
USING MATLAB TO CREATE AN IMAGE FROM RADAR
- 2011-11-24 20:17:44下载
- 积分:1
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ear5
IEEE上关于人耳图像识别的论文:使用改进的非负矩阵分解的人耳识别(Ear Recognition using Improved Non-Negative Matrix Factorization )
- 2009-05-12 15:08:17下载
- 积分:1