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code4datahide
code for inserting ext in image
- 2010-07-16 23:04:28下载
- 积分：1
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RVM-class
支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误
差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推
广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过
实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)
- 2013-11-21 11:28:50下载
- 积分：1
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KZXH
考虑单独变量之间的相关性，将其变成扩展变量，再用留一法进行数据处理，最后用SVM进行回归(Consider the correlation between individual variables, to expand into the variable, and then leave one for data processing, and finally with SVM regression)
- 2010-10-31 14:44:24下载
- 积分：1
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Buck_pcc-(2)
Buck peak current mode control
- 2017-02-14 13:28:37下载
- 积分：1
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iw235
一些自适应信号处理的算法，基于互功率谱的时延估计，插值与拟合，解方程，数据分析。( Some adaptive signal processing algorithms, Based on the time delay estimation of power spectrum, Interpolation and fitting, solution of equations, data analysis.)
- 2017-03-24 14:51:46下载
- 积分：1
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work
利用迭代实现一维IAA算法，可以直接使用(Iterative algorithm to achieve a one-dimensional IAA can be used directly)
- 2021-02-02 10:50:00下载
- 积分：1
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gaussiandis
function for generating N gaussian distribution samples
- 2009-09-06 16:31:06下载
- 积分：1
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MRAC
基于李雅普诺夫稳定性理论的可调增益的模型参考自适应控制，matlab编程。程序可用，且文档中包含原理框图。(Reference adaptive control, matlab programming adjustable gain Lyapunov stability theory-based model. Program is available, and the document contains schematic diagram.
)
- 2014-04-08 22:38:58下载
- 积分：1
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main_peaks
bee algorythm sample
- 2010-08-21 04:16:02下载
- 积分：1
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bisect
This is bisection method in Matlab.
- 2010-12-02 04:27:14下载
- 积分：1
