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goniometry    
n. 角度测定法,测角术

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  • Bayesian learning of feature spaces for multitask regression
    The proposed model, named RFF-BLR, consists of a randomised feedforward neural network with two fundamental characteristics: a single hidden layer whose units implement the random Fourier features that approximate an RBF kernel, and a Bayesian formulation that optimises the weights connecting the hidden and output layers
  • Bayesian Approximate Kernel Regression (BAKR) - GitHub
    Based on the random Fourier expansion we propose a computationally efficient class of Bayesian approximate kernel regression (BAKR) models for both nonlinear regression and binary classification for which one can compute an analog of effect sizes
  • bkmr: Bayesian Kernel Machine Regression - SJTU
    kmbayes Fit Bayesian kernel machine regression Description Fits the Bayesian kernel machine regression (BKMR) model using Markov chain Monte Carlo (MCMC) methods Usage kmbayes(y,
  • Statistical software for analyzing the health effects of multiple . . .
    Recently, we developed a new approach for estimating the joint health effects of multivariate exposures, Bayesian kernel machine regression (BKMR), that simultaneously addresses the challenges and scientific objectives described above [13]
  • Approximate Bayesian Kernel Machine Regression via . . .
    Approximate Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures 多重曝露の共同健康影響を推定するためのランダムFourier特徴による近似Bayesカーネル機械回帰【JST機械翻訳】





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