UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Principles and Theory for Data Mining and Machine Learning

1. Aufl., 2009

Volltextzugriff (PDF)

An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions

Forecasting, 2024-09, Vol.6 (3), p.815-838

2024

Volltextzugriff (PDF)

Understanding students' evaluations of professors using non-negative matrix factorization

Journal of applied statistics, 2021-11, Vol.48 (13-15), p.2961-2981

2021

Volltextzugriff (PDF)

Dropout Fails to Regularize Nonparametric Learners

Journal of statistical theory and practice, 2021-06, Vol.15 (2), Article 23

2021

Volltextzugriff (PDF)

What do Asian and non-Asian scriptures have in common? An applied statistical machine learning inquiry

Mathematics for applications, 2020-01, Vol.8 (2), p.151-171

2020

Volltextzugriff (PDF)

Model Selection for Optimal Prediction in Statistical Machine Learning

Notices of the American Mathematical Society, 2020-02, Vol.67 (2), p.1

Fokoué, Ernest

2020

Volltextzugriff (PDF)

Integrating Graph Structures into Kernel Regression Models

Serdica : journal of computing, 2024-10, Vol.18 (1), p.1-25

2024

Volltextzugriff (PDF)

On the ubiquity of the Bayesian paradigm in statistical machine learning and data science

Mathematics for applications, 2020-01, Vol.8 (2), p.189-209

Fokoué, Ernest

2020

Volltextzugriff (PDF)

On some similarities and differences between deep neural networks and kernel learning machines

Mathematics for applications, 2022-06, Vol.11 (1), p.75-106

2022

Volltextzugriff (PDF)

Latent Variable Models in Heterogeneous Spaces for Observations of Mixed Types

Communications in statistics. Theory and methods, 2009-01, Vol.38 (1), p.42-53

FOKOUE, Ernest

2009

Volltextzugriff (PDF)

Bayesian variable selection for linear regression with the κ-G priors

Mathematics for applications, 2022-12, Vol.11 (2), p.143-154

2022

Volltextzugriff (PDF)

An Optimal Experimental Design Perspective on Radial Basis Function Regression

Communications in statistics. Theory and methods, 2011-01, Vol.40 (7), p.1184-1195

2011

Volltextzugriff (PDF)

Data Properties Underlying Human Monitoring Performance

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2017-09, Vol.61 (1), p.1711-1715

2017

Volltextzugriff (PDF)

Bayesian Computation of the Intrinsic Structure of Factor Analytic Models

Journal of Data Science, 2021-07, Vol.7 (3), p.285-311

Ernest Fokoué

2021

Volltextzugriff (PDF)

Multi-stage fault warning for large electric grids using anomaly detection and machine learning

Mathematics for applications, 2020-01, Vol.8 (2), p.115-130

2020

Volltextzugriff (PDF)

Fully Bayesian analysis of the relevance vector machine with an extended hierarchical prior structure

Statistical methodology, 2011, Vol.8 (1), p.83-96

2011

Volltextzugriff (PDF)

Nonnegative Matrix Factorization with Toeplitz Penalty

Journal of Informatics and Mathematical Sciences, 2018-08, Vol.10 (1-2), p.201-215

2018

Volltextzugriff (PDF)

ATOMDANCE: Kernel-based denoising and choreographic analysis for protein dynamic comparison

Biophysical journal, 2024-09, Vol.123 (17), p.2705-2715

2024

Volltextzugriff (PDF)

Mixtures of factor analyzers: an extension with covariates

Journal of multivariate analysis, 2005-08, Vol.95 (2), p.370-384

FOKOUE, Ernest

2005

Volltextzugriff (PDF)

Kernelized cost-sensitive listwise ranking

Mathematics for applications, 2018-06, Vol.7 (1), p.31-40

2018

Volltextzugriff (PDF)

Random Subspace Learning (RASSEL) with data driven weighting schemes

Mathematics for applications, 2018-06, Vol.7 (1), p.11-30

2018

Volltextzugriff (PDF)

A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining

Serdica : journal of computing, 2015-04, Vol.8 (2), p.111-136

Fokoué, Ernest

2015

Volltextzugriff (PDF)

An empirical demonstration of the no free lunch theorem

Mathematics for applications, 2020-01, Vol.8 (2), p.173-188

2020

Volltextzugriff (PDF)

DROIDS 3.0—Detecting Genetic and Drug Class Variant Impact on Conserved Protein Binding Dynamics

Biophysical journal, 2020-02, Vol.118 (3), p.541-551

2020

Volltextzugriff (PDF)

Function and evolution of B-Raf loop dynamics relevant to cancer recurrence under drug inhibition

Journal of biomolecular structure & dynamics, 2022-01, Vol.40 (1), p.468-483

2022

Volltextzugriff (PDF)

1 – 25 von 56

Menü

Weitere Dienste

Einstellungen

Principles and Theory for Data Mining and Machine Learning

An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions

Understanding students' evaluations of professors using non-negative matrix factorization

Dropout Fails to Regularize Nonparametric Learners

What do Asian and non-Asian scriptures have in common? An applied statistical machine learning inquiry

Model Selection for Optimal Prediction in Statistical Machine Learning

Integrating Graph Structures into Kernel Regression Models

On the ubiquity of the Bayesian paradigm in statistical machine learning and data science

On some similarities and differences between deep neural networks and kernel learning machines

Latent Variable Models in Heterogeneous Spaces for Observations of Mixed Types

Bayesian variable selection for linear regression with the κ-G priors

An Optimal Experimental Design Perspective on Radial Basis Function Regression

Data Properties Underlying Human Monitoring Performance

Bayesian Computation of the Intrinsic Structure of Factor Analytic Models

Multi-stage fault warning for large electric grids using anomaly detection and machine learning

Fully Bayesian analysis of the relevance vector machine with an extended hierarchical prior structure

Nonnegative Matrix Factorization with Toeplitz Penalty

ATOMDANCE: Kernel-based denoising and choreographic analysis for protein dynamic comparison

Mixtures of factor analyzers: an extension with covariates

Kernelized cost-sensitive listwise ranking

Random Subspace Learning (RASSEL) with data driven weighting schemes

A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining

An empirical demonstration of the no free lunch theorem

DROIDS 3.0—Detecting Genetic and Drug Class Variant Impact on Conserved Protein Binding Dynamics

Function and evolution of B-Raf loop dynamics relevant to cancer recurrence under drug inhibition

Suchergebnisse filtern