Weights provided by the Relief algorithm for each extracted feature and τ value.</p
Weights of criteria if A4 is the best alternative (left) and A5 is the best alternative (right).</p
Variable weights calculated for each explanatory variable in the full models for abundance.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>Feature weights of (a) <i>P</i><sub>4</sub> and (b) and <i>P</i><sub>3</sub>.</p
We propose a series of new feature weighting algorithms, all stemming from a new interpretation of R...
Abstract—RELIEF is considered one of the most successful algorithms for assessing the quality of fea...
<p>PRESS values for all algorithms: (a) PLS; (b) SPA-MLR; (c) GA-MLR; (d) BVS; and (e) FA-MLR.</p
<p>Feature weights of (a) <i>P</i><sub>3</sub>' and (b) and <i>P</i><sub>4</sub>': attribute values ...
Attribute weights of objective indicators of entropy weight method (α = 0.5).</p
Weights from the main synthetic control estimation to construct synthetic California.</p
<p>The weight parameters derived from the comparison of the model simulations and the experimental r...
<p>Weights used for components of prediction workflows in knowledge-based optimization.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>The numbers and the averages of most important alleles (fragments) selected by different attribut...
<p>The attribute weighting models and the numbers of important protein features selected by each mod...
Weights of criteria if A4 is the best alternative (left) and A5 is the best alternative (right).</p
Variable weights calculated for each explanatory variable in the full models for abundance.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>Feature weights of (a) <i>P</i><sub>4</sub> and (b) and <i>P</i><sub>3</sub>.</p
We propose a series of new feature weighting algorithms, all stemming from a new interpretation of R...
Abstract—RELIEF is considered one of the most successful algorithms for assessing the quality of fea...
<p>PRESS values for all algorithms: (a) PLS; (b) SPA-MLR; (c) GA-MLR; (d) BVS; and (e) FA-MLR.</p
<p>Feature weights of (a) <i>P</i><sub>3</sub>' and (b) and <i>P</i><sub>4</sub>': attribute values ...
Attribute weights of objective indicators of entropy weight method (α = 0.5).</p
Weights from the main synthetic control estimation to construct synthetic California.</p
<p>The weight parameters derived from the comparison of the model simulations and the experimental r...
<p>Weights used for components of prediction workflows in knowledge-based optimization.</p
The obtained cost function values with respect to each run of different algorithms.</p
<p>The numbers and the averages of most important alleles (fragments) selected by different attribut...
<p>The attribute weighting models and the numbers of important protein features selected by each mod...
Weights of criteria if A4 is the best alternative (left) and A5 is the best alternative (right).</p
Variable weights calculated for each explanatory variable in the full models for abundance.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
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