Abstract: In probability theory, the partition function is a factor used to reduce any probability function to a density function with total probability of one. Among other statistical models used to ...

Objectives To (1) understand what behaviours, beliefs, demographics and structural factors predict US adults’ intention to get a COVID-19 vaccination, (2) identify segments of the population ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

The study of specific physiological processes from the perspective of network physiology has gained recent attention. Modeling the global information integration among the separated functionalized ...

The WeightedRandomItemSampler class implements a random sampler where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...

There are many numerical models and experimental systems supposedly described by the Replica Symmetry Breaking theory. Unfortunately, usually, the predictions of the theory are only qualitative, with ...

Probability is a measure of the likelihood that a particular event will occur. It plays an essential role in various fields, including statistics, mathematics, and financial analysis. Trying to ...

The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...