Hardness of Learning Halfspaces with Noise

Learning an unknown halfspace (also called a perceptron) from, labeled examples is one of the classic problems in machine learning. In the noise-free case, when a half-space consistent with all the training examples exists, the problem can be solved in polynomial time using linear programming. However, under the promise that a halfspace consistent with a… CONTINUE READING



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