Supervised Learning Algorithm

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A Supervised Learning Algorithm is a learning algorithm that can be implemented into a supervised learning system (to solve a supervised learning task).



References

2017

  • (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Gradient_boosting#Algorithm Retrieved:2017-1-21.
    • In many supervised learning problems one has an output variable and a vector of input variables connected together via a joint probability distribution [math] P(x,y) [/math] . Using a training set [math] \{ (x_1,y_1), \dots , (x_n,y_n) \} [/math] of known values of and corresponding values of , the goal is to find an approximation [math] \hat{F}(x) [/math] to a function [math] F^*(x) [/math] that minimizes the expected value of some specified loss function [math] L(y, F(x)) [/math] : : [math] \hat{F} = \underset{F}{\arg\min} \, \mathbb{E}_{x,y}[L(y, F(x))] [/math] .

2009

2006

1998