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Probabilistic graphical models: principles and techniques. by Daphne Koller.
Material type:
TextSeries: Adaptive computation and machine learningPublication details: Cambridge, MIT Press, 2009.Description: xxi, 1231 p. : ill. ; 24 cmISBN: - 9780262013192
- 519.5420 KOL/P
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Mathematics | Non Fiction | 519.5420 KOL/P (Browse shelf(Opens below)) | Available | 6381 |
Browsing Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre shelves, Shelving location: Mathematics, Collection: Non Fiction Close shelf browser (Hides shelf browser)
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| 519.535 GIR/I Introduction to high-dimensional statistics | 519.536 RHI/N Nonlinear regression modeling for engineering applications: Modelling, model validation, and enabling design of experiments | 519.54 KUH/A Applied predictive modeling | 519.5420 KOL/P Probabilistic graphical models: principles and techniques. | 519.542 PUT/M Markov decision processes: Discrete stochastic dynamic programming | 519.542 REI/P Probabilistic forecasting and bayesian data assimilation | 519.6 BOY/C Convex optimization |
Includes bibliographical references (p. [1171]-1207) and indexes.
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