A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

A team of researchers from Southeast University, Beijing Institute of Mathematical Sciences, Yale, and UC San Diego introduced GraphIC, a graph-based ICE retrieval method. GraphIC uses graph ...

How to Calculate Discrete Probability Distribution? ... Arrange all potential outcomes alongside their respective probabilities in either a table layout or graphical representation called a histogram.

In our paper, “Neural Graphical Models (opens in new tab),” presented at ECSQARU 2023 (opens in new tab), we propose Neural Graphical Models (NGMs), a new type of PGM that learns to represent the ...

Probabilistic graphical models (PGMs) such as Bayesian network (BN) have been widely applied in uncertain causality representation and probabilistic reasoning. Dynamic uncertain causality graph (DUCG) ...

The below image is a representation of the probability mass function of the Poisson distribution. Image source. In the image, k represents the number of occurrences, and P(x = k) is the probability of ...

Discrete probability distribution. The popular distributions under the discrete probability distribution categories are listed below how they can be used in python. Binomial distribution . This ...