Fine-Tuning Accuracy Using Conditional Probability of the Bottom Sign-Bit in Fixed-Width Modified Booth Multiplier
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0702-7
Abstract: In this paper, two methods for fine-tuning the accuracy of bias-estimation with conditional probability of the bottom signed bit (BSB) for fixed-width two’s complement modified Booth multiplier are proposed. We calculate the conditional probability between… read more here.
Keywords: fine tuning; tuning accuracy; fixed width; conditional probability ... See more keywords
An augmented EM algorithm for monotonic Bayesian networks using parameterized conditional probability tables
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DOI: 10.1007/s41237-021-00134-y
Abstract: Bayesian networks offer an attractive framework for describing the relationship between latent proficiency variables and observable outcomes. In educational applications, it is useful to restrict the conditional probability tables of the Bayesian network to be… read more here.
Keywords: probability tables; conditional probability; algorithm monotonic; augmented algorithm ... See more keywords
Focus on an infrequently used quantity in the context of competing risks: The conditional probability function
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DOI: 10.1016/j.compbiomed.2018.08.002
Abstract: In clinical studies of hematologic and oncologic diseases, the outcomes of interest are generally composite time to event endpoints which are usually defined by occurrence of different event types. Nonetheless, clinicians are interested in studying… read more here.
Keywords: probability; quantity; competing risks; conditional probability ... See more keywords
Advancing construction of conditional probability tables of Bayesian networks with ranked nodes method
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of General Systems"
DOI: 10.1080/03081079.2022.2086541
Abstract: System models based on Bayesian networks (BNs) are widely applied in different areas. This paper facilitates the use of such models by advancing the ranked nodes method (RNM) for constructing conditional probability tables (CPTs) of… read more here.
Keywords: conditional probability; bayesian networks; nodes method; probability tables ... See more keywords