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mani
- mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by G
nnfpe
- This function calculates Akaike s final prediction error % estimate of the average generalization error for network % models generated by NNARX, NNOE, NNARMAX1+2, or their recursive % counterparts. % % [FPE,deff,varest,H] = nnfpe(method,Ne
hrm
- A Hessian Regularized Nonlinear Time Series Model
mani
- 流形学习的经典算法,包括有:PCA,MDS,ISOMAP,LLE,Hessian LLE,LTSA, Laplacian,Diffusion Map-The classic manifold learning algorithm, including: PCA, MDS, ISOMAP, LLE, Hessian LLE, LTSA, Laplacian, Diffusion Map
drtoolbox
- Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
HessianSSR
- 基于Hessian能量的半监督回归,并将其应用于半监督维数约简。-This is code for the semi-supervised regression using Hessian energy. Kwang In Kim, Florian Steinke and Matthias Hein, "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensio
