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The LSER method basely uses a linear combination of several solvatochromic indices of solvents to describe their physical properties.
Sparse representation usually first determines and uses a linear combination of all training samples that can well approximate to the test sample and then assigns the test sample to the class whose training samples obtains the minimal class-residual.
Multi-state feedback uses a linear combination of several states.
As the exemplar-based method, our proposed GB method also uses a linear combination of the target training vectors.
Fpocket, for example, uses a linear combination of 5 such descriptors which parameters were optimized on a training dataset.
The linear discriminant analysis (LDA) [36] is a supervised pattern recognition method that uses a linear combination of a set of input features in order to tackle a classification problem, establishing linear decision boundaries between two or more classes.
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This viability is determined herein using a linear combination metric, which combines efficiency and CO2 emissions.
As shown in Equation (9), our model combines similarity scores using a linear combination of vectors (equivalent to calculating a weighed arithmetic mean of scores obtained with each individual similarity measure).
They then use a linear combination of these principle components and patterns to identify an individual EP-El Niño centre for each climate model.
In previous studies, those impacts were neglected or simply represented using a linear combination in determining the importance of ECs.
We still use a linear combination of B-spline functions to approximate a complicated probability density function (p.d.f).f
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