Bayesian reasoning and machine learn...
Barber, David, (1968-)

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  • Bayesian reasoning and machine learning /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    正題名/作者: Bayesian reasoning and machine learning // David Barber.
    作者: Barber, David,
    出版者: Cambridge ;Cambridge University Press, : 2012.,
    面頁冊數: xxiv, 697 p. :ill. ;26 cm.
    內容註: Machine generated contents note: 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.
    標題: Machine learning. -
    電子資源: http://assets.cambridge.org/97805215/18147/cover/9780521518147.jpg
    電子資源: http://www.loc.gov/catdir/enhancements/fy1117/2011035553-b.html
    電子資源: http://www.loc.gov/catdir/enhancements/fy1117/2011035553-d.html
    電子資源: http://www.loc.gov/catdir/enhancements/fy1117/2011035553-t.html
    ISBN: 9780521518147
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GW0023782 六樓西文書區HC-Z(6F Western Language Books) 01.外借(書)_YB 一般圖書 QA267 B347 2012 一般使用(Normal) 在架 0
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