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Although the network was inferred from these experiments, the inference procedure was applied to each gene individually.
Therefore, we apply KInfer to the network model we inferred with the time-lagged correlation based inference procedure described in the previous section.
The inference procedure process fuzzy input data and rules to infer fuzzy control actions employing fuzzy implication and the rules of inference in fuzzy logic.
The computing time of the inference procedure depends on the range of parameters being inferred as higher values of ρs and δ lead to slower simulations.
To infer demographic parameters under the two-phase population growth model, we employed an inference procedure based on the Maximum Likelihood framework.
The inference procedure underlying the theories must be Chunk and Permeate.
Nevertheless, in what follows, we address the model inference procedure for BGS-NMF with LSM prior.
The activity graph of SAGE was utilized to express the inference procedure of headache diagnosis.
This paper investigates a novel approximate Bayesian inference procedure for numerically solving inverse problems.
Influencing parameters and their effects on the system performances are identified with a statistical inference procedure.
The Bayesian inference procedure is first designed to identify measurement biases and misalignments via posterior probabilities.
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