Results 61 to 70 of about 6,929,542 (320)

Hyperparameter Optimization for Multi-Objective Reinforcement Learning [PDF]

, 2023
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex problems. The recent introduction of multi-objective reinforcement learning (MORL) has further expanded the scope of RL by enabling agents to make trade-offs among ...
Felten, Florian, Gareev, Daniel, Danoy, Grégoire, Felten, Florian; id_orcid, Talbi, El-Ghazali   +4 more
core   +1 more source

EMPLOYING GENETIC ALGORITHM INSPIRED HYPERPARAMETER OPTIMIZATION IN MOBILE NET V2 ARCHITECTURE [PDF]

Proceedings on Engineering Sciences
This paper presents a novel approach for hyperparameter optimization for the MobileNetV2 architecture using a genetic algorithm. The proposed approach aims to automate the hyperparameter tuning leading to performance enhancement.
Baljinder Kaur , Manik Rakhra , Nonita Sharma , Monika Mangla   +3 more
doaj   +1 more source

Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques

Sensors, 2023
Algorithms for machine learning have found extensive use in numerous fields and applications. One important aspect of effectively utilizing these algorithms is tuning the hyperparameters to match the specific task at hand. The selection and configuration
Farkhanda Abbas, Feng Zhang, Muhammad Ismail, Garee Khan, Javed Iqbal, Abdulwahed Fahad Alrefaei, Mohammed Fahad Albeshr   +6 more
doaj   +1 more source

Bayesian Hyperparameter Optimization of Machine Learning Models for Predicting Biomass Gasification Gases

Applied Sciences
Predicting biomass gasification gases is crucial for energy production and environmental monitoring but poses challenges due to complex relationships and variability.
P. Cihan
semanticscholar   +1 more source

Theoretical Aspects in Penalty Hyperparameters Optimization

Mediterranean Journal of Mathematics, 2023
AbstractLearning processes play an important role in enhancing understanding and analyzing real phenomena. Most of these methodologies revolve around solving penalized optimization problems. A significant challenge arises in the choice of the penalty hyperparameter, which is typically user-specified or determined through Grid search approaches.
Esposito F., Selicato L., Sportelli C.
openaire   +5 more sources

An adjoint for likelihood maximization

, 2009
The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Bressloff, Neil W., Andy J. Keane, Keane, Andy J., Holden, Carren, Alexander I J Forrester, Neil W Bressloff, Carren Holden, Forrester, Alexander I.J., Toal, David J.J.   +8 more
core   +1 more source

Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization

Heliyon, 2023
Raman spectroscopy, as a kind of molecular vibration spectroscopy, provides abundant information for measuring components and molecular structure in the early detection and diagnosis of breast cancer.
Qingbo Li, Zhixiang Zhang, Zhenhe Ma
doaj   +1 more source

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

Mathematics, 2023
This study presents a comprehensive exploration of the hyperparameter optimization in one-dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection.
D. Kilichev, Wooseong Kim
semanticscholar   +1 more source

Overtuning in Hyperparameter Optimization

CoRR
Accepted at the Fourth Conference on Automated Machine Learning (Methods Track).
Lennart Schneider, Bernd Bischl, Matthias Feurer 0001   +2 more
openaire   +4 more sources

Hyperparameter optimization for classification models.

, 2022
Hyperparameter optimization for classification models.
Maria Mahbub (11914235), Sudarshan Srinivasan (11914238), Suzanne Tamang (11914247), Gregory D. Peterson (8093489), Alina Peluso (9638408), Ioana Danciu (11914241), Edmon Begoli (11914244)   +6 more
core   +1 more source