Results 91 to 100 of about 9,313 (254)
A novel deep learning technique to detect electricity theft in smart grids using AlexNet
IET Renewable Power GenerationElectricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies.
Nitasha Khan +5 more
doaj +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Curse of Dimensionality Breakthrough
The curse of dimensionality has historically limited the ability to represent and compute high-dimensional, multi-modal, non-convex distributions. This work introduces a hybrid-classical / quantum-inspired latent solver that overcomes these limitations by combining: Classical neural encoders for latent amplitudes Quantum-inspired superposition of ...
Jeffrey Alexander Webb, ChatGPT
openaire +3 more sources
Applied SciencesThe challenge of analyzing microarray datasets is significantly compounded by the curse of dimensionality and the complexity of feature interactions.
Jiangnan Zhang +4 more
doaj +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Theory I: Deep networks and the curse of dimensionality [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2018 T. Poggio, Q. Liao
doaj +1 more source
A methodology for supplier selection under the curse of dimensionality problem based on fuzzy quality function deployment and interval data envelopment analysis. [PDF]
PLoS One, 2021 Bao X, Li F.
europepmc +1 more source
Interdisciplinary Medicine, EarlyView.Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang +7 more
wiley +1 more source
Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley +1 more source
Why Fun Aunties Matter: A Modest Account
Journal of Applied Philosophy, EarlyView.ABSTRACT In this article, I offer a child‐centred account of the value of company‐keeping relationships between children and adults. These are relationships enjoyed by a child and an adult who is neither a mere acquaintance nor integrally involved in that child's care or upbringing.
Lesley Jamieson
wiley +1 more source