Results 181 to 190 of about 1,862,731 (241)

Bio-Inspired Hyperparameter Optimization of LSTM Networks for Long-Horizon Stock Price Forecasting

Manan Bhasin, Rajesh Mahadeva, Amit Kumar Goyal, Varun Sarda   +3 more
openalex   +1 more source

Adaptive Hyperparameter Optimization

This paper introduces an adaptive hyperparameter optimization algorithm designed to enhance model generalization. Traditional hyperparameter optimization methods often employ static strategies, failing to adapt to the intricacies of individual models.
openaire   +1 more source

An advanced framework for predicting pollen outbreaks using multi-input multi-output temporal convolutional networks and firefly algorithm. [PDF]

Sci Rep
Sharma S, Kumar R, Kumar S, Gupta D, Juneja A, Kumar G.   +5 more
europepmc   +1 more source

Short-term load forecasting using a two-stage CPO-PSO hyperparameter optimization of LSSVM. [PDF]

Sci Rep
Zhang X.
europepmc   +1 more source

Optimizing Deep Learning for U.S. Technology Stock Price Forecasting Through Data Preprocessing and Hyperparameter Tuning

Fauzan Ghazi, Syahid Anuar, Saharudin Ismail, Mariam Mazlan   +3 more
openalex   +2 more sources

Automated deep learning by recurrent hyperparameter optimization. [PDF]

Nat Commun
Cheng Z, Cheng Y, Zhang C, Li X, Guan J, Wu F, Zhou S.   +6 more
europepmc   +1 more source

Developing machine learning regression model optimized using Tabu search harmony search algorithm for prediction of mass transfer in membranes. [PDF]

Sci Rep
Abu-Hamdeh NH, Milyani AH, Almitani KH.
europepmc   +1 more source

An Optimized and Explainable Machine Learning Framework for Diabetes Prediction Using Marine Predators Algorithm and SHAP. [PDF]

J Pers Med
Nasrin A, Asif MB, Naidu R, Asif AH, Chohan MS, Khan GA, Arifuzzaman M, Azad A, Martuza MA.   +8 more
europepmc   +1 more source

Performance trade-offs between dense prediction and sparse query mechanisms for brain tumor MRI detection: a comparative study of YOLOv8 and RT-DETR. [PDF]

Front Med (Lausanne)
Xie L, Chen J, Sun Z, Huang Y, Ye S, Ye C.   +5 more
europepmc   +1 more source

Dynamic Bayesian Optimization with Reinforcement Learning for Hyperparameter Tuning

Jincheng Zhang
openalex   +2 more sources