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BalzaniEdoardo committed Dec 12, 2024
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Here, $\approx$ means "approximately equal".

Instead of tackling the hard problem of learning an unknown function $f(x)$ directly, we reduce it to the simpler task of learning the weights $\{\alpha_i\}$.
Instead of tackling the hard problem of learning an unknown function $f(x)$ directly, we reduce it to the simpler task of learning the weights $\{\alpha_i\}$. This preserves convexity, resulting in a much simpler optimization problem.


## Basis in NeMoS
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