Exact(41)
In that work the author presented an image ranking strategy based on Bayesian belief networks.
Thus, in this way, it was not possible to tell which ranking strategy retrieved which image.
For each query, we ran the baseline methods and assembled the 30 top ranked images retrieved by each ranking strategy.
Gao et al. [4] proposed a feature ranking strategy (similar to attribute weighting) with a sampling process included.
Using the interval ranking strategy, the level-cut limit state function is precisely quantified to represent the safety state.
For solving the problem more efficiently, we design a γHSCCent node ranking strategy, and the corresponding enhanced algorithms are proposed.
Similar(18)
This approach requires heuristic selection of parameters and ranking strategies.
Sadjadi and Omrani (2008) developed a DEA model based on robust optimization approach and proposed a new formulation of DEA which is more reliable for efficiency estimating and ranking strategies.
Here we assessed the performance of different peak normalization and ranking strategies.
In this sense, we should even think of systems in which new ranking strategies may be integrated as add-ons.
G/W, Info and Sym are the relative ranks of the most significant variables (relative weight ≥ 0.001) using the GainRatioAttributeEval/Wrapper, InfoGainAtttributeEval, and SymmetricalUncertAttrbuteEval ranking strategies, respectively.
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