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Perceptron
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592.
Perceptron Decision Boundary
easy
What type of decision boundary can a single perceptron learn?
A
A probabilistic boundary defined by the posterior probability of each class
B
A piecewise linear boundary formed by combining multiple threshold functions
C
A curved boundary that adapts to nonlinear patterns in the training data
D
A linear hyperplane that separates the feature space into two half-spaces
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