Search - Kernel P

Search - Kernel P - List

[matlab] kernel_svm DL : 0: 这是我自己写的一个关于svm的核程序,希望对正在学习的朋友有所帮助.-that I wrote on a svm nuclear procedures in the hope that the friends are learning some help.
Date : 2026-01-11 Size : 2kb User : oliver
[matlab] dimension DL : 0: 代码用于估计关联维数。包括G-P算法(corrint.m)，高斯核关联算法(gka.m) 和Judd算法(judd.m)-Correlation dimension estimation code. Algorithms for estimating the correlation dimension using the grassberger-Proccacia approach (corrint.m), the Gaussian-Kernel algorithm (gka.m) and Judd s estimator (judd.m) are provided.
Date : 2026-01-11 Size : 18kb User : 彭跃华
[matlab] SVregression DL : 0: In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to notice is that the sparseness arose from complementary slackness conditions which in turn came from the fact that we had inequality constraints. In the SVM the penalty that was paid for being on the wrong side of the support plane was given by C P i » k i for positive integers k, where » i is the orthogonal distance away from the support plane. Note that the term jjwjj2 was there to penalize large w and hence to regularize the solution. Importantly, there was no penalt
Date : 2026-01-11 Size : 50kb User : bahman
[matlab] Kernel-PCA DL : 0: KPCA经典程序，是KPCA的创始人写的，为学习KPCA提供了模板。-Classic KPCA procedures, is the founder of KPCA wrote, KPCA provides templates for learning.
Date : 2026-01-11 Size : 1kb User : 曾波