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The optimal τ is selected by maximizing the classification accuracy on 3 unseen points.
For a set of training samples, D-ABC algorithm modifies parameters vector x → = { C, γ, q 1, q 2, …, q n } cycle-by-cycle, and search best x → for maximizing the classification accuracy.
Maximizing the classification margin (similar to Taskar et al., 2004) may also improve generalization.
Maximizing the classification log-likelihood requires the values of the predicted concentrations of the biomarker for any individual given C g.
Table 1 presents results for some fixed values of γ as well as results obtained with the optimal value of γ according to Algorithm 8, that is, that nonnegative γ maximizing the classification accuracy over all its possible values.
Our task is to select a smaller number of simple fuzzy if-then rules with high classification performance, and this is performed by maximizing the classification accuracy, minimizing the number of selected rules, and minimizing the total rule length at the same time.
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The goal of designing an optimal nearest neighbor classifier is to maximize the classification accuracy while minimizing the sizes of both the reference and feature sets.
In this paper, we proposed a multi-objective Pareto based particle swarm optimization (MOPPSO) to minimize the architectural complexity and maximize the classification accuracy of a polynomial neural network (PNN).
The objective is then to maximize the classification accuracy rate.
We then report the horizon that maximizes the classification ability of the chronology.
The bandwidth parameter 0.15, which maximized the classification accuracy, was chosen for the following experiments.
More suggestions(15)
optimize the classification
maximizing the storage
maximizing the amount
maximizing the transfer
maximizing the experience
maximizing the value
maximizing the revenue
maximizing the window
maximizing the land
maximizing the contrast
maximizing the Csum
maximizing the entropy
maximizing the capital
maximizing the network
maximizing the partnership
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