A heuristic procedure that tries to find the optimal sum-of-product expression for partial function checker that minimizes its area while providing specified error coverage is described here.
The optimal sum score of four mass spectrometry (MS -identified proteins yielded a sensitivity of 94 % and a specificity of 89 % (AUC = 0.969, 95 % CI = 0.944–0.994) to differentiate AD patients froMS -identifiedrols.
It is worth to mention that the value of optimal sum utility might be smaller than that achieved by the unconstrained SUM, due to the constraints.
By minimizing (optimal) the sum of the Euclidean distance between generally instances X j and the center of cluster Z j in an N-dimensional space and adjusting to proceed, each solution z i is a D-dimensional vector; here i = 1, 2, ⋯, SN.
Linear regression also has in our context a simple communication-theoretic interpretation: in the high SINR regime, linear functions approximate well the Shannon capacity formula, and y becomes simply the best approximation of the network throughput as a optimal weighted sum of the individual Shannon capacity estimates.
We present optimal algorithms for summing and show that any optimal summing algorithm must have a certain inherent structure.
A cluster is reported as optimal cluster if the sum-of-squared error for two clusters is not significantly smaller than expected by chance.
To this purpose, a subtree is reported as an optimal cluster if the sum-of-squared errors for two clusters is not significantly smaller than what is expected by chance (Kaczkowski et al., 2009).
By using lower carrier gas FRs than the one optimal for the sum of Fe and Mn intensities, it is possible improve sensitivities for refractory elements at the expense of other analytes, especially ones with high IPs.
