Radial basis function network: Difference between revisions

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:<math> P\left ( y \mid \mathbf{x} \right ) </math>
is the conditional probability of y given <math> \mathbf{x} </math>.
The conditional probability is related to the joint probability through [[Bayes' theorem]]
 
:<math> P\left ( y \mid \mathbf{x} \right ) = \frac {P \left ( \mathbf{x} \land y \right )} {P \left ( \mathbf{x} \right )} </math>