搜索资源列表
kernel-ica1_0.tar
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
KDE
- 本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助-kernel based estimation
kfd
- 基于核的fisher判别的文献，英文，从IEEE下载下来-Kernel-based fisher discriminant literature, English, download it from the IEEE
SVMbyQuadprog
- This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
semisupervised_learning
- 包含8篇半监督学习方面的中文文献，关于半监督学习的中文文献并不是很多，我把我找到的一些文章贡献一下。分别为：“半监督学习综述”“有关半监督学习的问题及研究”“基于半监督学习的网络流量分析”“基于核策略的半监督学习方法”“一种基于半监督学习的多模态WEB查询精华方法”“半监督学习机制下的说话人辨认算法”“半监督学习在入侵系统中的应用”“基于半监督学习的眉毛图像分割方法”-Includes eight semi-supervised learning of Chinese literature on
Gauss-SVM
- 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
10
- 关于rbf神经网络实现图像分类（主要针对遥感图像）的IEEE英文文献-KERNEL-BASED NONLINEAR FEATURE EXTRACTION FOR IMAGE
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- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-A METHOD FOR IMAGE CLASSIFICATION BASED ON KERNEL PCA
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
Kernel-based-robust-fuzzy-connectivity-means
- 基于连通核的鲁棒模糊C_均值聚类算法Kernel-based robust fuzzy connectivity means clustering algorithm C_-Kernel-based robust fuzzy connectivity means clustering algorithm C_
kpca
- kernel based principal componenet analysis
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
Semi-Supervised-Kernel-Based-Fuzzy
- 研究半监督学习的模糊核聚类方法用于变速箱早期故障诊断的方法。故障特征不明显、样本差异小是机械故障早期检测的 难点， 基于半监督学习的核聚类方法利用少量已知模式的样本， 结合大量未知模式的样本进行半监督学习， 得到较好的识别效果。-In this paper, motion control method of semi-closed CNC method is presented for gear-box fault early detection. The difficulty mach
RBF-kernel-based-on-SVM-and-RVM-
- 基于RBF核的SVM及RVM模式分析性能比较.-RBF kernel based on SVM and RVM pattern analysis performance comparison.
kernel
- 基于核的模糊C均值matlab仿真程序，功能函数是用c写的，自带图像可检验算法。-Kernel-based fuzzy C-means matlab simulation program, performance function is used to write c, comes with an image can be tested algorithms.
Kernel-Reinforcement-Learning
- 基于核函数方法的强化学习算法，用于处理连续状态空间问题或者大规模离散状态空间问题-Kernel-based reinforcement learning algorithm method for handling large-scale continuous state space problem or discrete state space problem
wind power forecasting based on EWT-KELM
- 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination predicti