In order to keep the distribution configuration simple, the continual distribution functions can be normalized.
For example, instead of normal(mean, variance, lower-boundry, upper-boundry), it could be normal(mean, variance) assuming that only probabilities from interval 0.0 - 1.0 are sampled.
In order to keep the distribution configuration simple, the continual distribution functions can be normalized. For example, instead of
normal(mean, variance, lower-boundry, upper-boundry), it could benormal(mean, variance)assuming that only probabilities from interval 0.0 - 1.0 are sampled.