Hyperplanes example sentences
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Related (11): dimensionality, linearity, orthogonality, vector, coordinates, affine, subspace, origin, intersection, convexity, non-convexity
"Hyperplanes" Example Sentences
- The data points are separated by a set of hyperplanes in a multidimensional space.
- By changing the orientation of the hyperplanes, the classification accuracy can be improved.
- The hyperplanes can be adjusted to better fit the data points.
- In a linear classifier, the decision boundary is a hyperplane.
- The hyperplanes divide the feature space into a set of regions.
- The hyperplanes are determined by the weights of the linear classifier.
- The hyperplanes are used to classify the data points into different classes.
- The hyperplanes are adjusted to maximize the classification accuracy.
- The hyperplanes are adjusted to minimize the classification error.
- The hyperplanes are used to separate the positive and negative examples.
- The hyperplanes are determined by the support vectors in the training data.
- The hyperplanes are adjusted to maximize the margin between the classes.
- The hyperplanes are adjusted to maximize the distance between the classes.
- The hyperplanes are determined by the support vector machine algorithm.
- The hyperplanes are adjusted to minimize the classification cost.
- The hyperplanes are used to classify the data points into two classes.
- The hyperplanes are used to separate the classes in the feature space.
- The hyperplanes are adjusted to maximize the separability of the classes.
- The hyperplanes are adjusted to minimize the misclassification rate.
- The hyperplanes are determined by the weights of the neural network.
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