Results 161 to 170 of about 6,413,007 (222)

Large Covariance Matrix Estimation by Penalized Log‐Det Heuristics

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT We study covariance estimation in high‐dimensional approximate factor models with a sparse residual covariance. The estimator combines a log‐det loss with nuclear‐norm and off‐diagonal ℓ1$$ {\mathrm{\ell}}_1 $$ penalties on a sample‐normalized covariance scale.
Enrico Bernardi, Matteo Farnè
wiley   +1 more source

FastPCA: An R package for fast singular value decomposition. [PDF]

open access: yesJ Open Source Softw
Ward KR   +5 more
europepmc   +1 more source

A Time‐Continuous Model of the 3D Ionospheric Current System and Associated Magnetic Fields in the Diurnal Variation Band

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract Ionospheric currents and their associated magnetic perturbations are difficult to predict due to the high variability of their driving mechanisms. In addition, the 3D structure of the currents is challenging to unravel due to the lack of direct observations within the current flow region, particularly in the E $E$‐layer.
P. Alken   +6 more
wiley   +1 more source

Rapid Estimation of Global Sea Surface Temperatures From Sparse Streaming In Situ Observations

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Reconstructing high‐resolution sea surface temperatures (SST) from staggered SST measurements is essential for analyzing earth system processes. However, when SST measurements are sparse, the resulting inferred SST fields are rather inaccurate.
Cassidy All   +5 more
wiley   +1 more source

Direct Construction of Quantized Tensor Trains With Small Rank for Laplace‐ or Gaussian‐Transformed Analytic Functions

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 18, 30 September 2026.
ABSTRACT Preparing quantum states with desired amplitude distributions is a key bottleneck in the implementation of quantum linear and nonlinear dynamics solvers, including Linear Combination of Hamiltonian Simulation (LCHS) and Schrödingerization. We present a direct, closed‐form construction of Quantized Tensor Train (QTT) representations for two ...
Katsuhiro Endo, Kazuaki Z. Takahashi
wiley   +1 more source

Surrogate Scattering Matrix‐Guided Inverse Design of Nanophotonic Neural Networks

open access: yesNanophotonics, Volume 15, Issue 18, 25 September 2026.
Surrogate‐guided inverse design separates task learning from electromagnetic realization by transferring a trained passive operator to a fabrication‐aware nanophotonic structure. The electromagnetic cost of each update depends on port count rather than the dataset size.
Azka Maula Iskandar Muda, Uğur Teğin
wiley   +1 more source

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach. [PDF]

open access: yesSci Rep
Opperman AK   +8 more
europepmc   +1 more source

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