Probabilistic graphical models: Principles and Techniques
By: Koller, D.
Material type: BookSeries: adaptive Computation and Machine Learning.Publisher: Cambridge; Massachusetts MIT Press 2010Description: xxxv, 1231p.ISBN: 978-0-262-01319-2.Item type | Current location | Call number | Status | Date due | Barcode |
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519.5420285 KOL (Browse shelf) | Available | 506209 |
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519.542 SAR Bayesian filtering and smoothing | 519.542 SIL The signal and the noise - Why so many predictions fail - but some don't | 519.542 SMI Bayesian decision analysis: Principles and practice | 519.5420285 KOL Probabilistic graphical models: Principles and Techniques | 519.544 CYG Parameterized algorithms | 519.544 RIS Optimal estimation of parameters | 519.544 VAP Estimation of dependences based on empirical data |
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