New answers tagged learning-theory
2
It's hard to answer what you "need", as that depends on your purpose, and hard to answer this question concretely, as it is very broad. I recommend you focus on learning concepts and ideas, as these are more likely to be of lasting use. Sometimes, though, to understand how some interesting capability is achieved, you will need to understand the ...
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Recall that the final hypothesis after $T$ rounds is $h_T(x)=sign\left(\sum\limits_{i=1}^T \alpha_t h_t(x)\right)$, i.e. $\alpha_t$ is the weight of $h_t$ in $h_T$. If $\epsilon_t$ is high (near one) you want to answer the opposite of $h_t$, so you want $\alpha_t$ to be negative and very large in absolute value. If on the other hand $\epsilon_t$ is very low ...
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