Online gambling games come in many different shapes and sizes. Aside from this, basically any other genre of game these days can be turned into one, which is exactly what the leading online casinos ...

Abstract: Extreme learning machine (ELM), which was originally proposed for "generalized" single-hidden layer feedforward neural networks (SLFNs), provides efficient unified learning solutions for the ...

The behavior of language models is influenced by the prior context provided in prompts. Depending on whether you pick synthesis or shake, the next row looks very different — Vishal Misra Contextual ...

Drand (pronounced "dee-rand") is a distributed randomness beacon daemon written in Golang. The need for digital randomness is paramount in multiple digital applications ([e]voting, lottery, ...

Abstract: In metropolitan and densely populated areas, underground distribution is common to enhance operating safety reduce exposure to the elements and for aesthetics. There is limited allowance for ...

Where \(X\) is a normally distributed random variable with mean \(\mu\) and standard deviation \(\sigma\). The peak of the curve occurs at \(x=\mu\), and the spread ...

Microsimulation is a form of individual-based stochastic simulation. In continuous time, microsimulation is closely related to discrete event simulation, and in discrete time it is closely related to ...

Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...

Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

This research paper was presented at the 17 th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (opens in new tab), a premier forum for advances in the theory ...