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Abnormal condition identification modeling based on fuzzy Bayesian network and transfer learningThe abnormal condition identification model is established based on the fuzzy Bayesian network
ANALYSIS OF THE DYNAMICS OF MACROECONOMIC INDICATORS BASED ON SMALL SAMPLES USING BAYESIAN NON-ASYMPTOTIC STATISTICAL METHODSANALYSIS OF THE DYNAMICS OF MACROECONOMIC INDICATORS BASED ON SMALL SAMPLES USING BAYESIAN NON
Estimating the indirect costs associated with psoriasis; [Оценка непрямых затрат, связанных с псориазом] of working hours. A Bayesian network meta-analysis was performed to assess the impact of genetically
Energy Efficient Dynamic Bid Learning Model for Future Wireless Network reinforcement learning process and combined it with Bayesian learning because of the deficiencies associated
Testing methods of linguistic homeland detection using synthetic data families: Bayesian phylogeography and the 'diversity method'. Bayesian methods model how populations may
Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction extracellular calcium. Using Bayesian modelling, we performed a statistical analysis of synaptic delays in mouse
Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction extracellular calcium. Using Bayesian modelling, we performed a statistical analysis of synaptic delays in mouse
Классификация гиперспектральных данных дистанционного зондирования Земли classifier for the normally distributed feature vectors to processing of these data is estimated
Bayesian approach to extreme-value statistics based on conditional maximum-entropy method (abbreviated as C-MaxEnt) has been proposed for selecting priors in Bayesian statistics in a very simple way
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