2190 results in Pattern Recognition and Machine Learning
Nomenclature
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1 - Bayesian Learning
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Contents
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- Model-Based Clustering and Classification for Data Science
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Appendix B - Metric in Parameter Space
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15 - Asymptotic VB Theory of Mixture Models
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6 - Global VB Solution of Fully Observed Matrix Factorization
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8 - Performance Analysis of VB Matrix Factorization
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11 - Efficient Solver for Sparse Additive Matrix Factorization
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Part IV - Asymptotic Theory
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2 - Model-based Clustering: Basic Ideas
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12 - MAP and Partially Bayesian Learning
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Part III - Nonasymptotic Theory
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Bibliography
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Index
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List of R Packages
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Part II - Algorithm
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2 - Variational Bayesian Learning
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14 - Asymptotic VB Theory of Reduced Rank Regression
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Part I - Formulation
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3 - VB Algorithm for Multilinear Models
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