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Description: 有关PPCA的计算程序，具体可见内部文件及说明，程序比较经典，很值得参考！-the PPCA the calculation procedures, visible and internal documents show that classical procedures that it is worthy reference!
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Size: 256224 |
Author: 安飞 |
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Description: PPCA变换的MATLAB程序代码 需要的可以下载
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Size: 430169 |
Author: yuefeng |
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Description: 这是包含pca和ppca等诸多源程序的工具箱，希望大家喜欢。
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Size: 486144 |
Author: lyp |
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Description: Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA contains the
variances of each of the principal components. This is computed
using the eigenvalue and eigenvector decomposition of X.
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Size: 1268 |
Author: 西晃云 |
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Description: 主成分分析PCA，和概率主成分分析PPCA的两篇应用论文
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Size: 1027629 |
Author: 田艳 |
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Description: 有关PPCA的计算程序，具体可见内部文件及说明，程序比较经典，很值得参考！-the PPCA the calculation procedures, visible and internal documents show that classical procedures that it is worthy reference!
Platform: |
Size: 256000 |
Author: 安飞 |
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Description: PPCA变换的MATLAB程序代码 需要的可以下载
-PPCA transform MATLAB program code needed to download
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Size: 430080 |
Author: yuefeng |
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Description: 这是包含pca和ppca等诸多源程序的工具箱，希望大家喜欢。-This is the PCA and PPCA includes many source code of the toolbox, I hope everyone likes.
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Size: 485376 |
Author: lyp |
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Description: Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA contains the
variances of each of the principal components. This is computed
using the eigenvalue and eigenvector decomposition of X.-Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA (X, PPCA_DIM) computes the principal component subspace U of dimension PPCA_DIM using a centred covariancematrix X. The variable VAR contains the off-subspace variance (whichis assumed to be spherical ), while the vector LAMBDA contains thevariances of each of the principal components. This is computedusing the eigenvalue and eigenvector decomposition of X.
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Size: 1024 |
Author: 西晃云 |
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Description: 主成分分析PCA，和概率主成分分析PPCA的两篇应用论文-Principal component analysis PCA, principal component analysis and probability PPCA application papers of two
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Size: 1027072 |
Author: 田艳 |
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Description: 经典算法讲解和实现PPT，内部资料，绝对经典-Classical algorithm to explain and achieve PPT, internal data, absolute classic
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Size: 6572032 |
Author: TonY xu |
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Description: Mtlab function for PCA
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Size: 2048 |
Author: zak |
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Description: 线性鉴别技术是一种较好的分类技术，本程序源码使用了一种基于PPCA与LCA的人脸识别方法使人脸识别效率的到提高 可直接使用。
-Linear identification techniques is a better classification technology, the program source code using a face recognition method based on the PPCA and the LCA recognition efficiency to improve can be used directly.
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Size: 1024 |
Author: revealrot |
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Description: 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots.
Core library objects
wilcoxon
Wilcoxon object- significance test of results
joint_kernel
Joint kernel object- for calculating inner products in joint feature spaces
joint_data
Joint_data object
corrt_test
corrected resampled t-test object- significance test of results
Unsupervised objects
spectral
Spectral clustering
ppca
Probabilistic Principal Components Analysis
nmf
Non-negative Matrix Factorization object
mrank
Manifold Ranking
Density Estimation objects
indep
Feature selection by independent density estimation
Feature Selection objects
r2w2_sel
Feature scaling/selection via SVMs and r^2/w^2 bound.
nfe
Non-Linear Feature Elimination
mutin
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Size: 212992 |
Author: 刘阳 |
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Description: Max Welling s Notes 原网页是PS格式的，我都转成了pdf格式方便阅读，机器学习算法相关，都是一些相对基础的算法，这个笔记把很多算法的精髓都整理的很清楚，适合初学者入门看，以及一些新的算法里面可能没有涉及，在英文描述中我把里面涉及的算法列了一下，按需求下载吧。-Max Welling s Notes。Statistical Estimation [ps]
- bayesian estimation
- maximum a posteriori (MAP) estimation
- maximum likelihood (ML) estimation
- Bias/Variance tradeoff & minimum description length (MDL)
Expectation Maximization (EM) Algorithm [ps]
- detailed derivation plus some examples
Supervised Learning (Function Approximation) [ps]
- mixture of experts (MoE)
- cluster weighted modeling (CWM)
Clustering [ps]
- mixture of gaussians (MoG)
- vector quantization (VQ) with k-means.
Linear Models [ps]
- factor analysis (FA)
- probabilistic principal component analysis (PPCA)
- principal component analysis (PCA)
Independent Component Analysis (ICA) [ps]
- noiseless ICA
- noisy ICA
- variational ICA
Mixture of Factor Analysers (MoFA) [ps]
- derivation of learning algorithm
Hidden Markov Models (HMM) [ps]
- viterbi decoding algorithm
- Baum-Welch learning algorithm
Kalman Filters (KF) [ps]
- kalman filter algorithm (very detailed derivation)
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Size: 1211392 |
Author: 陈希 |
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Description: 概率 PCA algorithm，matlab程序 -Probabilistic PCA algorithm，matlab code
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Size: 244736 |
Author: zchww |
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Description: ppca的matlab程序。翻墙下载来。pudn目前没有哦。里面有例子，以及对应的结果。-Ppca matlab program. Over the wall to download. Pudn is not there yet There are examples, as well as the corresponding results.
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Size: 10240 |
Author: 程 |
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