To do the weighting efficiently, they use probabilistic inference algorithms like MCMC.

The performance of probabilistic inference was evaluated by the 10-fold cross validation.

Inference in Alchemy is a combination of logical and probabilistic inference.

Driverless cars and other robots are a prime example of probabilistic inference in action.

Bayesians believe learning is a form of probabilistic inference and have their roots in statistics.

The solution is probabilistic inference, and the master algorithm is Bayes' theorem and its derivates.

Researchers call this skill probabilistic inference.

Bayes' theorem tells us how to incorporate new evidence into our beliefs, and probabilistic inference algorithms do that as efficiently as possible.

Perhaps they use similar probabilistic inference algorithms, with the notable difference that in the case of humans, drinking doesn't seem to help.

On the one hand, because of the learning and probabilistic inference, a simple MLN can do the job of a complex program.

With a sigh of relief, you realize that's all the probabilistic inference you'll need, at least until it's time to answer questions using the model.