Abstract: Field-programmable gate array (FPGA) optimized random number generators (RNGs) are more resource-efficient than software-optimized RNGs because they can take advantage of bitwise operations ...
Implementation of Bayesian Network Based on Ultra-High-Speed Superconductor Random Number Generators
Abstract: A Bayesian network (BN) is a graphical model that represents causal relationships between events. BNs have been widely used in applications such as forecasting, diagnosis, and classification ...
Keywords: linear mixed-effects models, generalization, statistics, Monte Carlo simulation "I see no real alternative, in most confirmatory studies, to having a single main question—in which a question ...
David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses In 1996, to address the suboptimal reporting of meta-analyses, an ...
Random number generators in digital information systems make use of physical entropy sources such as electronic and photonic noise to add unpredictability to deterministically generated pseudo-random ...
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable ...
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