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IV. Feasibility of Learning 1. Learning is Impossible? Lin provides two examples to show learning seems to be impossible. 2. Probability to the Rescue Hoeffding’s Inequality: μ\muμ is the actual freq...

III. Types of Learning 1. Learning with Different Output Space yyy Classification , binary classifiction, multiclass classification Regression Structured, output a structure including videos, images, ...

Learning to Answer Yes/No 1. Perceptron Hypothesis Set Perceptron 感知机 ⇔\Leftrightarrow⇔ linear(binary) classifier h(x)=sign((∑i=1d)−threshold)h(x)=sign(∑i=1dwixi+(−thresholdw0)⋅(+1x0))h(x)=sign(∑i=0d...