Pattern Recognition

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Pattern Recognition

Pattern recoginition

• input data: x
• Label/output: y
• x^(i)^ -> model/algorithm -> y^(i)^ ---inference/prediction
• y=y^(k)^ where k= arg min || x(i)-x||^2=argmin d(x(i)-x)

argmin (argument of the minimum) finds the input value(s) that produce the minimum output of a function, rather than the minimum output itself

K Nearest Neighbor

Linear Regression

线性回归

norm

transpose

Expectation: \(E_{p(y)[f(y)]}=\sum_{y_i}p(y)f(y)\)

arg min

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