Zobrazeno 1 - 10
of 46 487
pro vyhledávání: '"Multivariate Gaussian"'
Given a rooted tree $T$ on $n$ non-root leaves with colored and zeroed nodes, we construct a linear space $L_T$ of $n\times n$ symmetric matrices with constraints determined by the combinatorics of the tree. When $L_T$ represents the covariance matri
Externí odkaz:
http://arxiv.org/abs/2412.00895
Autor:
Crowley, George, Esnaola, Inaki
Sensor placement approaches in networks often involve using information-theoretic measures such as entropy and mutual information. We prove that mutual information abides by submodularity and is non-decreasing when considering the mutual information
Externí odkaz:
http://arxiv.org/abs/2409.03541
We derive Gaussian approximation bounds for random forest predictions based on a set of training points given by a Poisson process, under fairly mild regularity assumptions on the data generating process. Our approach is based on the key observation
Externí odkaz:
http://arxiv.org/abs/2403.09960
Autor:
Song, Jiwoo, Huang, Daning
Modal analysis has become an essential tool to understand the coherent structure of complex flows. The classical modal analysis methods, such as dynamic mode decomposition (DMD) and spectral proper orthogonal decomposition (SPOD), rely on a sufficien
Externí odkaz:
http://arxiv.org/abs/2403.13118
Autor:
Gkagkos, Michail1 (AUTHOR) gkagkos@tamu.edu, Charalambous, Charalambos D.2 (AUTHOR) chadcha@ucy.ac.cy
Publikováno v:
Entropy. Apr2024, Vol. 26 Issue 4, p306. 30p.
A Partial Information Decomposition for Multivariate Gaussian Systems Based on Information Geometry.
Autor:
Kay, Jim W.1 (AUTHOR) jim.kay@glasgow.ac.uk
Publikováno v:
Entropy. Jul2024, Vol. 26 Issue 7, p542. 25p.
In recent years, machine learning (ML) has brought effective approaches and novel techniques to economic decision, investment forecasting, and risk management, etc., coping the variable and intricate nature of economic and financial environments. For
Externí odkaz:
http://arxiv.org/abs/2312.05756
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Bertoldo, Joao P C, Arrustico, David
Publikováno v:
2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, France, 2023, pp. 1-6
This paper introduces a simplified variation of the PaDiM (Pixel-Wise Anomaly Detection through Instance Modeling) method for anomaly detection in images, fitting a single multivariate Gaussian (MVG) distribution to the feature vectors extracted from
Externí odkaz:
http://arxiv.org/abs/2307.06052
Autor:
Azzolini, Francesca, Skaug, Hans
Multimodality of the likelihood in Gaussian mixtures is a well-known problem. The choice of the initial parameter vector for the numerical optimizer may affect whether the optimizer finds the global maximum, or gets trapped in a local maximum of the
Externí odkaz:
http://arxiv.org/abs/2308.14700