Results 41 to 50 of about 173,823 (173)

Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU

open access: yesIEEE Access
The development of models to estimate the mortality rate of critically ill patients in the intensive care unit(ICU) is significantly enhanced by technologies based on artificial intelligence.
M. Fathima Begum, Subhashini Narayan
doaj   +1 more source

Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco

open access: yesRevista de Teledetección
The development of efficient classifiers for land cover remains challenging due to the presence of hyperparameters in the model. Conventional approaches rely on manual tuning, which is both time-consuming and impractical, often leading to suboptimal ...
Abdelhak El Kharki   +6 more
doaj   +1 more source

A Bayesian Approach Based on Bayes Minimum Risk Decision for Reliability Assessment of Web Service Composition

open access: yesFuture Internet, 2020
Web service composition is the process of combining and reusing existing web services to create new business processes to satisfy specific user requirements. Reliability plays an important role in ensuring the quality of web service composition. However,
Yang Song, Yawen Wang, Dahai Jin
doaj   +1 more source

Hyperparameter Tuning

open access: yes
This file contains hyperparameter tuning experiments.
  +4 more sources

Studies of different kernel functions in nuclear mass predictions with kernel ridge regression

open access: yesFrontiers in Physics, 2023
The kernel ridge regression (KRR) approach has been successfully applied in nuclear mass predictions. Kernel function plays an important role in the KRR approach.
X. H. Wu
doaj   +1 more source

A Novel Deep Learning Architecture Optimization for Multiclass Classification of Alzheimer’s Disease Level

open access: yesIEEE Access
Alzheimer’s disease is a neurodegenerative disorder prevalent in older adults, and early diagnosis is crucial for effective treatment. A deep learning model can automatically classify Alzheimer’s disease from magnetic resonance imaging to ...
Mahir Kaya, Yasemin Cetin-Kaya
doaj   +1 more source

Optimization of Autoencoders for Speckle Reduction in SAR Imagery Through Variance Analysis and Quantitative Evaluation

open access: yesMathematics
Speckle reduction in Synthetic Aperture Radar (SAR) images is a crucial challenge for effective image analysis and interpretation in remote sensing applications. This study proposes a novel deep learning-based approach using autoencoder architectures for
Ahmed Alejandro Cardona-Mesa   +5 more
doaj   +1 more source

Metaheuristics Approach for Hyperparameter Tuning of Convolutional Neural Network

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Deep learning is an artificial intelligence technique that has been used for various tasks. Deep learning performance is determined by its hyperparameter, architecture, and training (connection weight and bias).
Hindriyanto Purnomo   +4 more
doaj   +1 more source

Hyperparameter optimization with approximate gradient

open access: yes, 2016
Most models in machine learning contain at least one hyperparameter to control for model complexity. Choosing an appropriate set of hyperparameters is both crucial in terms of model accuracy and computationally challenging.
Pedregosa, Fabian
core  

Evaluation of Spatial Variability of Soil Nutrients in Saline–Alkali Farmland Using Automatic Machine Learning Model and Hyperspectral Data

open access: yesISPRS International Journal of Geo-Information
Saline–alkali soils represent a significant reserve of arable land, playing a vital role in ensuring national food security. Given that saline–alkali soil has low soil organic matter (SOM) and soil nutrient contents, and that soil quality degradation ...
Meiyan Xiang   +7 more
doaj   +1 more source

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