Artificial-Immune

介绍和分析最大互相关匹配算法，并对其的性能进行分析(Introduction and analysis of the largest cross-correlation matching algorithm and its performance analysis)

first order filtering

deduplication project

CCNA learning materials

epsilon greedy action selec

这是一个关于最小二乘支持向量机的MATLAB仿真的例子，希望能给大家带来方便。(This is a least squares support vector machine on the MATLAB simulation examples, we hope that they will be convenient.)

计算一维向量的LZC，已经设置为头文件，可以直接运用(One-dimensional vector of LZC, has been set for the header files, can be applied directly)

K mean分类方法，在模式分类中应用极其广泛，利用不断更新期望中心点来划分类别(K mean classification,widely used in pattern classification.)

Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.

an neutral fuzyy application in matlab