Computer Science · Machine Learning
Which algorithm minimizes an upper bound on the generalization error and maximizes the margin between a separating hyperplane and data points, rather than just minimizing empirical training error?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1Radial Basis Function (RBF) Network
- 2Hopfield neural network
- 3Support Vector Machine (SVM)✓
- 4Boltzmann machine
Correct answer
Support Vector Machine (SVM)
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