The matrix ridge approximation: algorithms and applications

DOI10.1007/s10994-013-5431-yzbMath1319.68203arXiv1312.4717OpenAlexW2163781224MaRDI QIDQ2514754

Zhihua Zhang

Publication date: 3 February 2015

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.4717

zbMATH Keywords

positive semidefinite matricesprobabilistic modelsexpectation maximization algorithmsincomplete matrix factorizationmatrix ridge approximation

Mathematics Subject Classification ID

Related Items (1)

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Uses Software

• bmds

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• Multiway spectral clustering: a margin-based perspective
• On the convergence properties of the EM algorithm
• Metric and Euclidean properties of dissimilarity coefficients
• Principal component analysis.
• The majorization approach to multidimensional scaling for Minkowski distances
• 10.1162/15324430260185619
• Some Statistical Approaches to Multidimensional Scaling Data
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Probabilistic Principal Component Analysis
• A Constrained EM Algorithm for Principal Component Analysis
• Bayesian Multidimensional Scaling and Choice of Dimension
• An Expectation-Maximization Approach to Nonlinear Component Analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Some Modified Matrix Eigenvalue Problems
• Model-based transductive learning of the kernel matrix

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