UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 140

Sortiert nach

Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks

Neural computation, 2021-07, Vol.33 (8), p.2274-2307

2021

Link zum Volltext

Verfügbarkeit prüfen

Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude

Earth, planets, and space, 2023-12, Vol.75 (1), p.78-12, Article 78

2023

Link zum Volltext

Verfügbarkeit prüfen

Geometry of EM and related iterative algorithms

Information geometry, 2024, Vol.7 (Suppl 1), p.39-77

2024

Link zum Volltext

Verfügbarkeit prüfen

Sparse isocon analysis: A data-driven approach for material transfer estimation

Chemical geology, 2020-01, Vol.532, p.119345, Article 119345

2020

Link zum Volltext

Verfügbarkeit prüfen

Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Neural computation, 2017-07, Vol.29 (7), p.1838-1878

2017

Link zum Volltext

Verfügbarkeit prüfen

Estimation of neural connections from partially observed neural spikes

Neural networks, 2018-12, Vol.108, p.172-191

2018

Link zum Volltext

Verfügbarkeit prüfen

Universal statistics of Fisher information in deep neural networks: mean field approach

Journal of statistical mechanics, 2020-12, Vol.2020 (12), p.124005

2020

Link zum Volltext

Verfügbarkeit prüfen

Nonparametric e -Mixture Estimation

Neural computation, 2016-12, Vol.28 (12), p.2687-2725

2016

Link zum Volltext

Verfügbarkeit prüfen

Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

PloS one, 2017-01, Vol.12 (1), p.e0169981-e0169981

2017

Link zum Volltext

Verfügbarkeit prüfen

Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis

Science and technology of advanced materials, 2019-12, Vol.20 (1), p.733-745

2019

Link zum Volltext

Verfügbarkeit prüfen

Non-parametric e-mixture of Density Functions

Neural Information Processing, p.3-10

Link zum Volltext

Verfügbarkeit prüfen

Spatially multi-scale dynamic factor modeling via sparse estimation

International journal of mathematics for industry (Online), 2019-12, Vol.11 (1), p.1950005-1-1950005-14

2019

Link zum Volltext

Verfügbarkeit prüfen

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Neurocomputing (Amsterdam), 2005-08, Vol.67, p.106-135

2005

Link zum Volltext

Verfügbarkeit prüfen

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation, p.102-113

Link zum Volltext

Verfügbarkeit prüfen

Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework

IEEE access, 2019, Vol.7, p.12547-12556

2019

Link zum Volltext

Verfügbarkeit prüfen

Subduction-zone parameters that control slab behavior at the 660-km discontinuity revealed by logistic regression analysis and model selection

Frontiers in earth science (Lausanne), 2022-10, Vol.10

2022

Link zum Volltext

Verfügbarkeit prüfen

Information Geometric Perspective of Modal Linear Regression

Neural Information Processing, p.535-545

Link zum Volltext

Verfügbarkeit prüfen

Geometrical Formulation of the Nonnegative Matrix Factorization

Neural Information Processing, p.525-534

Link zum Volltext

Verfügbarkeit prüfen

Full-Span Log-Linear Model and Fast Learning Algorithm

Neural computation, 2022-05, Vol.34 (6), p.1398-1424

2022

Link zum Volltext

Verfügbarkeit prüfen

A Kernel Method to Extract Common Features Based on Mutual Information

Neural Information Processing, p.26-34

Link zum Volltext

Verfügbarkeit prüfen

Intrinsic Graph Structure Estimation Using Graph Laplacian

Neural computation, 2014-07, Vol.26 (7), p.1455-1483

2014

Link zum Volltext

Verfügbarkeit prüfen

Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space

Computer Analysis of Images and Patterns, p.236-243

Link zum Volltext

Verfügbarkeit prüfen

Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis

Science and Technology of Advanced Materials: Methods, 2021-01, Vol.1 (1), p.45-55

2021

Link zum Volltext

Verfügbarkeit prüfen

Robust Hypersurface Fitting Based on Random Sampling Approximations

Neural Information Processing, p.520-527

Link zum Volltext

Verfügbarkeit prüfen

Assessment of Greenhouse Tomato Anthesis Rate Through Metabolomics Using LASSO Regularized Linear Regression Model

Frontiers in molecular biosciences, 2022-03, Vol.9, p.839051-839051

2022

Link zum Volltext

Verfügbarkeit prüfen

1 – 25 von 140

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(85)
Mit Volltextzugriff
(139)

Publikationsform

Sprache

Englisch
(128)
Japanisch
(57)

Erscheinungsjahr

n.n

Thema

Science & Technology
(85)
Technology
(74)
Computer Science
(67)
Computer Science, Artificial Intelligence
(48)
Computer Science, Theory & Methods
(23)
Computer Science, Information Systems
(21)
Life Sciences & Biomedicine
(18)
Artificial Intelligence
(14)
Algorithms
(13)
Applied Sciences
(12)
Engineering
(12)
Engineering, Electrical & Electronic
(12)
Exact Sciences And Technology
(12)
Neurosciences
(12)
Neurosciences & Neurology
(12)
Physical Sciences
(12)
Computer Science; Control Theory; Systems
(11)
Information Geometry
(10)
Machine Learning
(10)
Data Mining
(9)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks

Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude

Geometry of EM and related iterative algorithms

Sparse isocon analysis: A data-driven approach for material transfer estimation

Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Estimation of neural connections from partially observed neural spikes

Universal statistics of Fisher information in deep neural networks: mean field approach

Nonparametric e -Mixture Estimation

Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis

Non-parametric e-mixture of Density Functions

Spatially multi-scale dynamic factor modeling via sparse estimation

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework

Subduction-zone parameters that control slab behavior at the 660-km discontinuity revealed by logistic regression analysis and model selection

Information Geometric Perspective of Modal Linear Regression

Geometrical Formulation of the Nonnegative Matrix Factorization

Full-Span Log-Linear Model and Fast Learning Algorithm

A Kernel Method to Extract Common Features Based on Mutual Information

Intrinsic Graph Structure Estimation Using Graph Laplacian

Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space

Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis

Robust Hypersurface Fitting Based on Random Sampling Approximations

Assessment of Greenhouse Tomato Anthesis Rate Through Metabolomics Using LASSO Regularized Linear Regression Model

Suchergebnisse filtern