Results 181 to 190 of about 47,079 (313)

ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization

Maresa Schröder, Pascal Janetzky, Michael Klar, Stefan Feuerriegel   +3 more
openalex   +1 more source

Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization [PDF]

Szymon Sieradzki, Jacek Mańdziuk
openalex   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot. [PDF]

iScience
Zhang P, Li X, Wang B, Gao X, Liu T, Zhang B, Qin F, Zhang Y, Li S.   +8 more
europepmc   +1 more source

Optimizing CNN Hyperparameters for Enhanced sEMG Signal Classification using D-Optimal Design [PDF]

Arturo A. Márquez Carranza, Moisés Arredondo-Velázquez, Benito de Celis Alonso, Eduardo Moreno-Barbosa   +3 more
openalex   +1 more source

Deep learning-based prediction of delamination growth in composite structures: bayesian optimization and hyperparameter refinement

, 2023
Ufuk Demircioğlu, Halit Bakır
openalex   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction. [PDF]

Sci Rep
Bo Z, Hasan MK, Sundararajan EA, Islam S, Zhang P, Ahmed FRA, Babiker NBM.   +6 more
europepmc   +1 more source

Enhancing U-Net segmentation performance through data augmentation and bayesian hyperparameter optimization for RSWA images

Adil Nabih, Imane Moufid, Fouad Briki, Ismail Lagrat, Oussama Bouazaoui   +4 more
openalex   +1 more source

Scalable Graph Learning with Graph Convolutional Networks and Graph Attention Networks: Addressing Class Imbalance Through Augmentation and Optimized Hyperparameter Tuning [PDF]

Chaima Ahle Touate, Rachid El Ayachi, Mohamed Biniz   +2 more
openalex   +1 more source