66
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TELECOMMUNICATIONSNETWORK STANDARDS GUIDELINESTELECOMMUNICATIONSNETWORK STANDARDSAND GUIDELINESFOR N
44
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We propose a simple approach to combining first-order logic and probabilistic
graphical models in a single representation. A Markov logic network (MLN) is a first-order
knowledge base with a weight attached to each formula (or clause). Together with a set of
constants representing objects in the domain, it specifies a ground Markov network containing
one feature for each possible grounding of a first-order formula in the KB, with the corre-
sponding weight. Inference in MLNs is performed by MCMC over the minimal subset of
the ground network required for answering the query. Weights are efficiently learned from
relational databases by iteratively optimizing a pseudo-likelihood measure. Optionally, addi-
tional clauses are learned using inductive logic programming techniques. Experiments with a
real-world database and knowledge base in a university domain illustrate the promise of this
approach.
64
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2005Cisco ystems,Inc. All rights reserved. CHN-0020Cis co ConfidentialUnders tanding IPTV Technologi
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network across Asia in the following countries and growing China NASDAQFMCNwith over 20 Shopping Centers. Other Networks
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ECE467Communication Network AnalysisBruce HajekDecember 15, 2006c BruceHajekAll rights reserved. Per
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InternationalOrganization Standardization(ISO) "computersecurity" dataprocessing system managementse

向豆丁求助:有没有network?