Zobrazeno 1 - 10
of 1 725 661
pro vyhledávání: '"P‐Matrix"'
Autor:
Li, Xin, Wu, Dongya
We consider the nonconvex regularized method for low-rank matrix recovery. Under the assumption on the singular values of the parameter matrix, we provide the recovery bound for any stationary point of the nonconvex method by virtue of regularity con
Externí odkaz:
http://arxiv.org/abs/2412.16263
Autor:
Schwarz, Albert
The main goal of present paper is to analyze the adiabatic definition of scattering matrix in the formalism of L-functionals. This definition leads to the notion of inclusive scattering matrix closely related to inclusive cross sections. We discuss t
Externí odkaz:
http://arxiv.org/abs/2412.10634
Autor:
Oh, Minseog, Kim, Donggyu
In financial applications, we often observe both global and local factors that are modeled by a multi-level factor model. When detecting unknown local group memberships under such a model, employing a covariance matrix as an adjacency matrix for loca
Externí odkaz:
http://arxiv.org/abs/2412.05664
Autor:
Si, M. S., Zhang, G. P.
Fewer operators are more fundamental than the position operator in a crystal. But since it is not translationally invariant in crystal momentum representation (CMR), how to properly represent it is nontrivial. Over half a century, various methods hav
Externí odkaz:
http://arxiv.org/abs/2501.01706
Inference in matrix-valued time series with common stochastic trends and multifactor error structure
We develop an estimation methodology for a factor model for high-dimensional matrix-valued time series, where common stochastic trends and common stationary factors can be present. We study, in particular, the estimation of (row and column) loading s
Externí odkaz:
http://arxiv.org/abs/2501.01925
In-memory analog matrix computing (AMC) with resistive random-access memory (RRAM) represents a highly promising solution that solves matrix problems in one step. However, the existing AMC circuits each have a specific connection topology to implemen
Externí odkaz:
http://arxiv.org/abs/2501.01586
Label noise refers to incorrect labels in a dataset caused by human errors or collection defects, which is common in real-world applications and can significantly reduce the accuracy of models. This report explores how to estimate noise transition ma
Externí odkaz:
http://arxiv.org/abs/2501.01402
In this study, we explore the impact of one zero textures on the neutrino mass matrix, focusing on their ability to constrain neutrino parameters such as mixing angles, Dirac and Majorana phases, and mass eigenstates. We investigate one zero textures
Externí odkaz:
http://arxiv.org/abs/2501.00776
Robust matrix completion (RMC) is a widely used machine learning tool that simultaneously tackles two critical issues in low-rank data analysis: missing data entries and extreme outliers. This paper proposes a novel scalable and learnable non-convex
Externí odkaz:
http://arxiv.org/abs/2501.00677
This paper is devoted to the class of paraconvex functions and presents some of its fundamental properties, characterization, and examples that can be used for their recognition and optimization. Next, the convergence analysis of the projected subgra
Externí odkaz:
http://arxiv.org/abs/2501.00427