AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...
Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...
Abstract: To achieve the maximum information transfer and face a possible eavesdropper, the samples transmitted in continuous-variable quantum key distribution (CV-QKD) protocols are to be drawn from ...
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
If the probability that a randomly selected person will vote in the next election is 0.39, how would we find the probability that more than half of the people in a sample of 1000 will vote? Since the ...
This repository documents my 3-month intensive AI training at SIC (Samsung Innovation Campus), containing projects and completed during the program. The training covered the full data science pipeline ...
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