Results 231 to 240 of about 211,846 (266)

Robust resonant anomaly detection with NPLM. [PDF]

Eur Phys J C Part Fields
Grosso G, Sengupta D, Golling T, Harris P.   +3 more
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Research on children's health prediction based on Improved Grey Wolf Optimization algorithm-Random Forest model. [PDF]

Medicine (Baltimore)
Xu H, Hu J.
europepmc   +1 more source

CATHe2: Enhanced CATH superfamily detection using ProstT5 and structural alphabets. [PDF]

Biol Methods Protoc
Mouret O, Abbass J.
europepmc   +1 more source

Fourier ptychographic enhancement of iterative pathways: autonomous 3D momentum coordination in hybrid ML-PIE architectures. [PDF]

Biomed Opt Express
Chen Y, Wang Y, Zheng J, Liu H, Li J, Xu T.   +5 more
europepmc   +1 more source

A multimodal machine learning approach to forecast upper limb motor recovery after stroke using kinematic and electromyographic data - A pilot-study. [PDF]

J Neuroeng Rehabil
Privitera L, Lassi M, Dalise S, Azzollini V, Maggiani L, Guggisberg A, Mazzoni A, Chisari C, Micera S, Bandini A.   +9 more
europepmc   +1 more source

Hybrid HHO-WHO Optimized Transformer-GRU Model for Advanced Failure Prediction in Industrial Machinery and Engines. [PDF]

Sensors (Basel)
Ali AR, Kamal H.
europepmc   +1 more source

Intelligent pear variety classification models based on Bayesian optimization for deep learning and its interpretability analysis. [PDF]

Sci Rep
Lu T, Yu F, Yu Y, Zhang L.
europepmc   +1 more source

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Reproducible Hyperparameter Optimization

Journal of Computational and Graphical Statistics, 2021
A key issue in machine learning research is the lack of reproducibility. We illustrate what role hyperparameter search plays in this problem and how regular hyperparameter search methods can lead t...
Lars Hertel, Pierre Baldi, Daniel L. Gillen   +2 more
openaire   +1 more source