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Hybrid random fields : a scalable approach to structure and parameter learning in probabilistic graphical models

By:

Freno, Antonino

Contributor(s):

Trentin, Edmondo

Material type: Text

Text

TextSeries: Intelligent systems reference library ; v. 15Publication details: New York Springer 2011Description: xvi, 207p. ; 24cmISBN:

9783642203077

DDC classification:

519.5 FRE

Average rating: 0.0 (0 votes)

Holdings ( 1 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	LRC, IIT Indore 3rd Floor - Reference Collection	Reference	519.5 FRE (Browse shelf(Opens below))	Not For Loan		17132

Total holds: 0

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Previous	519.4028553 CHR&V.2 Numerical computation. v.2. Methods software and analysis	519.5 BAG Non-parametric tests for complete data	519.5 DOD The Concise Encyclopedia of Statistics	519.5 FRE Hybrid random fields : a scalable approach to structure and parameter learning in probabilistic graphical models	519.5 GAT Case Studies in Bayesian Statistics	519.5 HAN&V.13 Handbook og statistics 13. Design and analysis of experiments	519.5 HAN&V.14 Handbook of statistics 14. Statistical methods in finance	Next

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