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[Algorithm] ppca DL : 0: 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.
Date : 2025-07-16 Size : 1kb User : 西晃云
[VC/MFC] PPCA DL : 0: 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
Date : 2025-07-16 Size : 6.27mb User : TonY xu
[Other] maxwell DL : 0: 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) -
Date : 2025-07-16 Size : 1.16mb User : 陈希
[DataMining] PPCA DL : 0: 概率 PCA algorithm，matlab程序 -Probabilistic PCA algorithm，matlab code
Date : 2025-07-16 Size : 239kb User : zchww