Pattern recognition and machine learning

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Bibliografiske detaljer
Hovedforfatter: Bishop, Christopher M (Author)
Format: Bog
Sprog:engelsk
Udgivet: New York, USA Springer Science and Business Media 2006
Serier:Information Science and Statistics
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Online adgang:Disponible Online
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505 |a 1 Introduction 2 Probability Distributions 3 Linear Models for Regression 4 Linear Models for Classification 5 Neural Networks 6 Kernel Methods 7 Sparse Kernel Machines 8 Graphical Models 9 Mixture Models and EM 10 Approximate Inference 11 Sampling Methods 12 Continuous Latent Variables 13 Sequential Data 14 Combining Models Appendix A Data Sets Appendix B Probability Distributions Appendix C Properties of Matrices Appendix D Calculus of Variations Appendix E Lagrange Multipliers References Index 
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