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...

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

电子科技学刊, 2019-03, Vol.17 (1), p.26-40

2019

Volltextzugriff (PDF)

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

Procedia computer science, 2020, Vol.167, p.293-301

2020

Volltextzugriff (PDF)

Automatic tuning of hyperparameters using Bayesian optimization

Evolving systems, 2021-03, Vol.12 (1), p.217-223

2021

Volltextzugriff (PDF)

An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

Applied soft computing, 2021-01, Vol.98, p.106742-106742, Article 106742

2021

Volltextzugriff (PDF)

Physics-Informed LSTM hyperparameters selection for gearbox fault detection

Mechanical systems and signal processing, 2022-05, Vol.171, p.108907, Article 108907

2022

Volltextzugriff (PDF)

Nested cross-validation when selecting classifiers is overzealous for most practical applications

Expert systems with applications, 2021-11, Vol.182, p.115222, Article 115222

2021

Volltextzugriff (PDF)

Tabular data: Deep learning is not all you need

Information fusion, 2022-05, Vol.81, p.84-90

2022

Volltextzugriff (PDF)

KNN Optimization Using Grid Search Algorithm for Preeclampsia Imbalance Class

E3S web of conferences, 2023-01, Vol.448, p.2057

2023

Volltextzugriff (PDF)

Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking

IEEE transactions on pattern analysis and machine intelligence, 2021-05, Vol.43 (5), p.1515-1529

2021

Volltextzugriff (PDF)

DNN model development of biogas production from an anaerobic wastewater treatment plant using Bayesian hyperparameter optimization

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-09, Vol.471, p.144671, Article 144671

2023

Volltextzugriff (PDF)

Machine learning techniques to predict the fundamental period of infilled reinforced concrete frame buildings

Structures (Oxford), 2023-08, Vol.54, p.918-927

2023

Volltextzugriff (PDF)

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

Chaos, solitons and fractals, 2020-10, Vol.139, p.110055-110055, Article 110055

2020

Volltextzugriff (PDF)

Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

Statistical Applications in Genetics and Molecular Biology, 2004-02, Vol.3 (1), p.3-25

Smyth, Gordon K

2004

Volltextzugriff (PDF)

AutoML: A survey of the state-of-the-art

Knowledge-based systems, 2021-01, Vol.212, p.106622, Article 106622

2021

Volltextzugriff (PDF)

Comment on the paper “Improving the precision of solids velocity measurement in gas–solid fluidized beds with a hybrid machine learning model” by Hongliang Xiao, Adefarati Oloruntoba, Xiwei Ke, Kaixuan Gao, Linlin Duan, Cenfan Liu, Yongmin Zhang, Junwu Wang: Chemical Engineering Science; 285 (2024), 119579

Chemical engineering science, 2025-02, Vol.302, p.120831, Article 120831

2025

Volltextzugriff (PDF)

Stacking ensemble approach to diagnosing the disease of diabetes

Informatics in medicine unlocked, 2024, Vol.44, p.101427, Article 101427

2024

Volltextzugriff (PDF)

Competitive multi-task Bayesian optimization with an application in hyperparameter tuning of additive manufacturing

Expert systems with applications, 2025-03, Vol.262, p.125618, Article 125618

2025

Volltextzugriff (PDF)

Support vector machine in structural reliability analysis: A review

Reliability engineering & system safety, 2023-05, Vol.233, p.109126, Article 109126

2023

Volltextzugriff (PDF)

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

Ecological modelling, 2019-08, Vol.406, p.109-120

2019

Volltextzugriff (PDF)

AuthorNet: Leveraging attention-based early fusion of transformers for low-resource authorship attribution

Expert systems with applications, 2025-03, Vol.262, p.125643, Article 125643

2025

Volltextzugriff (PDF)

Optimizing LSTM for time series prediction in Indian stock market

Procedia computer science, 2020, Vol.167, p.2091-2100

2020

Volltextzugriff (PDF)

A new hyperparameters optimization method for convolutional neural networks

Pattern recognition letters, 2019-07, Vol.125, p.828-834

2019

Volltextzugriff (PDF)

Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks

Machine learning, 2024-07, Vol.113 (7), p.4925-4949

2024

Volltextzugriff (PDF)

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm

Applied soft computing, 2023-01, Vol.132, p.109848, Article 109848

2023

Volltextzugriff (PDF)

Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

Journal of machine learning research, 2022-04, Vol.23 (1), p.6680-6722

2022

Volltextzugriff (PDF)

1 – 25 von 3.619

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(2.075)
Mit Volltextzugriff
(2.645)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

3 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Science & Technology
(2.179)
Technology
(1.814)
Machine Learning
(1.477)
Hyperparameter Optimization
(1.252)
Computer Science
(1.208)
Optimization
(1.048)
Algorithms
(984)
Engineering
(949)
Deep Learning
(849)
Hyperparameter Tuning
(826)
Neural Networks
(724)
Computer Science, Artificial Intelligence
(572)
Accuracy
(542)
Engineering, Electrical & Electronic
(511)
Physical Sciences
(496)
Artificial Neural Networks
(489)
Datasets
(484)
Classification
(457)
Training
(452)
Hyperparameters
(443)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

Automatic tuning of hyperparameters using Bayesian optimization

An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

Physics-Informed LSTM hyperparameters selection for gearbox fault detection

Nested cross-validation when selecting classifiers is overzealous for most practical applications

Tabular data: Deep learning is not all you need

KNN Optimization Using Grid Search Algorithm for Preeclampsia Imbalance Class

Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking

DNN model development of biogas production from an anaerobic wastewater treatment plant using Bayesian hyperparameter optimization

Machine learning techniques to predict the fundamental period of infilled reinforced concrete frame buildings

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

AutoML: A survey of the state-of-the-art

Stacking ensemble approach to diagnosing the disease of diabetes

Competitive multi-task Bayesian optimization with an application in hyperparameter tuning of additive manufacturing

Support vector machine in structural reliability analysis: A review

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

AuthorNet: Leveraging attention-based early fusion of transformers for low-resource authorship attribution

Optimizing LSTM for time series prediction in Indian stock market

A new hyperparameters optimization method for convolutional neural networks

Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm

Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

Suchergebnisse filtern