The study shows how probabilistic clustering supports intelligent data transmission strategies. The authors propose leveraging cluster probabilities to define transmission rules: sensors with a high ...

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

In this video, we examine why Spotify's shuffle feature is not truly random and how it operates through an algorithm. We ...

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, ...

This is a preview. Log in through your library . Abstract We propose a probabilistic algorithm for factorization of an integer $N$ with run time $(\exp\sqrt{\log N ...

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 ...