Abstract: The traditional extreme learning machine (ELM) approach is based on a random assignment of the hidden weight values, while the linear coefficients of the output layer are determined ...
Abstract: The performance of data-driven fault diagnosis methods is often impeded by irrelevant and redundant information in high-dimensional data. To address this issue, this article proposes a fault ...
In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...
Metabolomics characterizes metabolites with high-throughput techniques. Recently, liquid chromatography mass spectrometry (LC-MS) has become widely adopted by the metabolomics community as a powerful ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
One of the most widely confirmed empirical patterns in ecology is Taylor’s law (TL): The variance of population density is approximately a power-law function of the mean population density. We showed ...
The intrinsic unpredictability of measurements in quantum mechanics can be used to produce genuine randomness. Here, we demonstrate a random number generator where the randomness is certified by ...
1 Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa Hospital, Civic Campus, 1053 Carling Avenue, Ottawa, ON, Canada K1Y 4E9 2 Division of Emergency Medicine, University of ...
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