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Test Bank for Bayesian Reasoning and Machine Learning (1st Edition) by David Barber

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  • ISBN-10:  0521518148 / ISBN-13:  9780521518147
  • Ebook Details

    • Edition: 1th edition
    • Format: Downloadable ZIP Fille
    • Resource Type : Testbank
    • Publication: 2012
    • Duration: Unlimited downloads
    • Delivery: Instant Download
     

    $35.00 $30.00

    SKU: b8565277e3f5 Category:

    Table of content:

    Preface; Part I. Inference in Probabilistic Models: 1. Probabilistic reasoning; 2. Basic graph concepts; 3. Belief networks; 4. Graphical models; 5. Efficient inference in trees; 6. The junction tree algorithm; 7. Making decisions; Part II. Learning in Probabilistic Models: 8. Statistics for machine learning; 9. Learning as inference; 10. Naive Bayes; 11. Learning with hidden variables; 12. Bayesian model selection; Part III. Machine Learning: 13. Machine learning concepts; 14. Nearest neighbour classification; 15. Unsupervised linear dimension reduction; 16. Supervised linear dimension reduction; 17. Linear models; 18. Bayesian linear models; 19. Gaussian processes; 20. Mixture models; 21. Latent linear models; 22. Latent ability models; Part IV. Dynamical Models: 23. Discrete-state Markov models; 24. Continuous-state Markov models; 25. Switching linear dynamical systems; 26. Distributed computation; Part V. Approximate Inference: 27. Sampling; 28. Deterministic approximate inference; Appendix. Background mathematics; Bibliography; Index.

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