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Based on curated information on microbial reactions cataloged in the University of Minnesota Biocatalysis/Biodegredation Database (UM-BBD) [ 23] and documented in the published literature, UM-PPS generates a set of rules that specify how predefined functional groups may be modified through a metabolic reaction.
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Our approach starts by randomly generating a set of rules, executing them to generate some target models.
We employ a rule search strategy to generate a set of rules to identify the optimal configurations for reliability and its tradeoff with other design goals.
ML algorithms extract relevant information from empirical dataset through computational/statistical techniques and generate a set of rules, functions, or procedures that allow them to predict the properties of novel objects which have not been included in the learning set.
We used Quinlan's C5.0 decision-tree learning algorithm [ 14] to generate a set of rules for each subgroup of patient records associated with missing or incomplete rules in the guidelines.
After the design phase, the framework generates a set of LINC rules and objects that have to be deployed.
A generalized radial basis function (GRBF) neural network architecture that generates a set of fuzzy classification rules was developed for protein sequences classification by Wang et al. [ 11].
The rough set LEM2 (Learning from Examples Module, version 2) algorithm generates a set of comprehensible decision rules that can be applied in a knowledge-based education system designed for interested parties.
The best obtained dispatching rule is combined with a list of benchmark dispatching rules to generate a set of candidate rules.
Zee et al generated a set of stopping rules similar to the DESR, but later found that the rules generated had poorer power than intended [ 14, 15].
A new experimental process is conducted to objectively generate a set of fuzzy rules with the most influential form elements, based on the subjects' assessments of the simple complex image on 33 representative mobile phone samples.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com