Conditional Probability is defined as:
$$ P(y|x) = \frac{P(yx)}{P(x)} $$
Conditional Probability is defined as:
$$ P(y|x) = \frac{P(yx)}{P(x)} $$
Join Probability Distribution is defined as below after knowing the Conditional Probability# \(p(y_k|x_j)\) and \(p(x_j)\):
Channel Matrix aka conditional probability# table is a statistical model of a #Discrete Memoryless Channel (DMC) which is defined as the following formulae: