„Computer-aided learning (CAL)“

Suchergebnisse

146 Treffer

• A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis
  Abbaszadeh Shahri, Abbas ; Chunling, Shan ; Larsson, Stefan
• Machine Learning on the Basis of Formal Concept Analysis
  Kuznetsov, S. O.
• Bayesian active learning approach for estimation of empirical copula-based moment-independent sensitivity indices
  Song, Jingwen ; Zhang, Yifei ; Cui, Yifan ; Yue, Ting ; Dang, Yan
• Fusion of experimental and synthetic data for reliable prediction of steel connection behaviour using machine learning
  Cabrera, Manuela ; Ninic, Jelena ; Tizani, Walid
• Method for Improving Gradient Boosting Learning Efficiency Based on Modified Loss Functions
  Korolev, N. S. ; Senko, O. V.
• A Machine Learning Method to Reveal Closed Sets of Common Features of Objects Using Constraint Programming
  Zuenko, A. A.
• Generative Model of Autoencoders Self-Learning on Images Represented by Count Samples
  Antsiperov, V. E.
• Hybrid kernel approach to improving the numerical stability of machine learning for parametric equations with Gaussian processes in the noisy and noise-free data assumptions
  Esmaeilbeigi, Mohsen ; Cheraghi, Meysam
• Parametric model order reduction by machine learning for fluid–structure interaction analysis
  Lee, SiHun ; Jang, Kijoo ; Lee, Sangmin ; Cho, Haeseong ; Shin, SangJoon
• Analysis of the Properties of Probabilistic Models in Expert-Augmented Learning Problems
  Bazarova, A. I. ; Grabovoy, A. V. ; Strijov, V. V.
• Research on the effect of wind turbine bearing fault diagnosis method based on multi-feature calculation and Bayesian optimized machine learning method
  Jiang, Jiahui ; Xu, Chaozheng ; An, Hexuan
• A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface
  Wu, Jinhong ; Feng, Xingxing ; Cai, Xuan ; Huang, Xufeng ; Zhou, Qi
• Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
  Tajdari, Mahsa ; Tajdari, Farzam ; Shirzadian, Pouyan ; Pawar, Aishwarya ; Wardak, Mirwais ; Saha, Sourav ; Park, Chanwook ; Huysmans, Toon ; Song, Yu ; Zhang, Yongjie Jessica ; Sarwark, John F. ; Liu, Wing Kam
• An auto-tuned hybrid deep learning approach for predicting fracture evolution
  Jiang, Sheng ; Cheng, Zifeng ; Yang, Lei ; Shen, Luming
• Improved river water-stage forecasts by ensemble learning
  Li, Shicheng ; Yang, James
• An active learning Kriging model with adaptive parameters for reliability analysis
  Xu, Huanwei ; Zhang, Wei ; Zhou, Naixun ; Xiao, Lu ; Zhang, Jingtian
• Iterative Learning Control for a Discrete-Time System with Changing Reference Trajectory under Uncertainty
  Emelianova, J. P.
• A multi-fidelity active learning method for global design optimization problems with noisy evaluations
  Pellegrini, Riccardo ; Wackers, Jeroen ; Broglia, Riccardo ; Serani, Andrea ; Visonneau, Michel ; Diez, Matteo
• Probabilistic medical image imputation via deep adversarial learning
  Raad, Ragheb ; Patel, Dhruv ; Hsu, Chiao-Chih ; Kothapalli, Vijay ; Ray, Deep ; Varghese, Bino ; Hwang, Darryl ; Gill, Inderbir ; Duddalwar, Vinay ; Oberai, Assad A.
• Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms
  Huqqani, Ilyas Ahmad ; Tay, Lea Tien ; Mohamad-Saleh, Junita