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Kernlab公司

Kernlab
课程网址: http://videolectures.net/mloss08_karatzoglou_kernlab/  
主讲教师: Alexandros Karatzoglu
开课单位: 鲁昂INSA
开课时间: 2008-12-20
课程语种: 英语
中文简介:
kernlab是一个R包,提供基于内核的机器学习功能。它旨在为内核算法开发提供工具,但也包括一系列流行的机器学习方法,用于分类、回归、聚类、新颖性检测、分位数回归和降维。软件包中包含的其他算法包括支持向量机、谱聚类、核PCA、QP求解器和一系列核(高斯核、拉普拉斯核、字符串核等)。
课程简介: kernlab is an R package providing kernel-based machine learning functionality. It is designed to provide tools for kernel algorithm development but also includes a range of popular machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other algorithms included in the package are Support Vector Machines, Spectral Clustering, Kernel PCA, a QP solver and a range of kernels (Gaussian, Laplacian, string kernels etc.).
关 键 词: 机器学习功能; 内核算法; 字符串核
课程来源: 视频讲座网
数据采集: 2022-12-01:chenjy
最后编审: 2022-12-01:chenjy
阅读次数: 28