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This combined approach gives optimum parametric combination based on highest Grey Relation Coefficient (GRC).
Sort this combination, based on their fitness.
Our experiments presented here are a combination based on those two approaches mentioned above.
Combination based on or derived from product and sum rules are common approaches.
Considering the model strength and the simplicity of combination based TCAR, we therefore suggest to use combination based TCAR for EWL AR, while the LAMBDA method for NL AR.
With combination based TCAR, it is somehow used to solving the ambiguity individually, especially for EWL AR.
We use a hypothesis combination based on a consensus hierarchy displayed in the best phonetic strings of samples.
One of the cushy comprehensions is linear combination based on these weak learners or estimators for the AdaBoost.
The default algorithm selects the best hysteresis and time-to-trigger combination based on the current network status.
In this optimization problem, we select T optimal atoms that provide the optimal linear combination based on the SSIM index.
We introduce a hierarchical framework for conjunctive concept combination based on conceptual spaces and random set theory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com