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For graphical representation of the distribution of B-cell epitope contact point probability and MHC binding on a population basis, the permuted minimum algorithm was derived as previously described.
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A fully automated, local-minima algorithm was developed to separate lidar ground returns from overlying vegetation returns.
The downturn of the interference minimum algorithms is in lower fairness of the throughput.
An extended r-minimum algorithm is proposed to formulate the boundary condition, such as the yield of element, maximum allowable strain increment, maximum allowable rotation increment, maximum allowable equivalent stress increment, and tolerance for nodes getting out of contact with tool.
In addition, we have shown this technique to be feasible for pre-clinical research: the minimum R2 algorithm was resistant to off-resonance in a single slice mouse R2 map, whereas maximum intensity projection resulted in banding artifacts and overestimated R2 values.
The Minimum evolution algorithm was applied based on the Nucleotide Maximum Composite Likelihood analysis of all positions.
Solving the Steiner minimum tree algorithm was proposed by Klein and Ravi [ 36], which can be used for constructing a connected subnetwork given a list of query nodes.
The training is stopped when the sum of all squared errors of each output neurons for the training examples (not the validation examples) does not decrease by at least 5% for 9 consecutive iterations (including iterations where the local minima escape algorithm was invoked).
Recent works have failed to address how to find the global minimum because their algorithm was trapped in the local minimum.
Minimum spanning tree algorithm was used to construct a minimum spanning tree (MST) to determine phylogenetic pattern.
A minimum spanning tree algorithm was used to find linkers that connected all genes of interest in one subnetwork [ 32].
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