Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

We present a probabilistic greedy search method for combinatorial optimisation problems. This approach is implemented and evaluated for the Set Covering Problem (SCP) and shown to yield a simple, ...

The phenomenal success of our integrated circuits managed to obscure an awkward fact: they're not always the best way to solve problems. The features of modern computers—binary operations, separated ...

In the flow shop weighted completion time problem, a set of jobs has to be processed on m machines. Every machine has to process each one of the jobs, and every job has the same routing through the ...

LONDON, Aug. 27, 2021 — Brytlyt announces they have been granted a patent by the United States Patent and Trademark Office for their ground-breaking algorithm that allows efficient and effective ...