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The poll has a maximum margin of sampling error of plus or minus three points.
(The survey was conducted Aug. 11 to 14 with 95 percent confidence that the maximum margin of sampling error is plus or minus 4 percentage points).
Inspired by the maximum margin of SVM, A. Kocsor et al. [37] propose the margin maximizing discriminant analysis (MMDA) approach.
The modified synchronization algorithm needs only a maximum margin of 16 points into the guard interval to insure the position in the cyclic prefix.
Although there are infinite number of solutions to separate hyperplanes, by maximizing the margin, Figure 1 shows only two decision functions satisfying (4). Figure 1 Maximum margin of optimal hyperplane.
The poll has a maximum margin of error of +/- 3.1percentt.
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The maximum margin value of fault currents is defined as I M.
Thus, the derived trajectory is a physically constrained path inasmuch as it considers the maximum margin notion of the SVM theory.
Given a training set belonging to two classes, a linear SVM finds an optimal separating hyper plane with the maximum margin between samples of two classes, by solving the following optimization problem: (2) M i n 1 2 W T W s u b j e c t t o : y i (W. X i + b ) − 1 ≥ 0 where X i and y i are ith sample and its label.
A family of SVM algorithms including variants of maximum margin, 1-norm, 2-norm and ν-SVM is considered.
Second, the coordinate axes of OMMPS are optimal in meaning of maximum margin because the coordinate axes are solved sequentially by exerting the orthogonality constraint on the objective function.
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