Automatic source code generation for computing probabilities of variables in belief networks
作者： Zachary T. Cox
DOI:
关键词: Algorithm 、 Bayesian network 、 Partial evaluation 、 Interface (computing) 、 Theoretical computer science 、 Computer science 、 Data acquisition 、 Generator (circuit theory) 、 Order (business) 、 Carry (arithmetic) 、 Source code
摘要: A system for computing probabilities of variables in a belief network includes data acquisition interface configured to receive representative the network. The further partial evaluator carry out evaluation algorithm that determines probability calculations must be performed on received order compute source code generator output as programming language.
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