Unlike its category-agnostic approach using a Markov chain, we leverage the category information to model the prototype with beta distributions.
we define a prototype of category c hypothetically as an ordered set of random variables R c = {X a,c |a is a property} (an example distribution of X a,c is shown as the blue dashed line in Figure 2(b)).