This scattered field inverse problem is of interest as it presents an upper bound, or “best-case” outcome of the OCT inverse problem, although it is still severely ill-posed as we will demonstrate. Crucially relevant for our purposes, any determination made about the non-uniqueness of the ...
(ARL) unbiased control charts, which monitor the shape and location parameters of the inverse Gaussian distribution respectively, are proposed when the in-control parameters are known. The effects of parameter estimation on the performance of the proposed control charts are also studied. An ARL-...
Calculations of minimum energy paths for atomic rearrangements using the nudged elastic band method can be accelerated with Gaussian process regression to reduce the number of energy and atomic force evaluations needed for convergence. Problems can arise, however, when configurations with large forces due...
We provide several new tests for the inverse Gaussian goodness-of-fit hypothesis. For example, an independence characterization is used to develop an IG analogue of the Z-test of normality. In the process, we introduce new concepts termed IG-symmetry, IG -skewness and IG-kurtosis. These, in...
IEEE Signal Process. Mag. 2017 paper bib Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath Deep Reinforcement Learning: An Overview. arXiv 2017 paper bib Yuxi Li Derivative-Free Reinforcement Learning: A Review. Frontiers Comput. Sci. 2021 paper bib Hong Qian, Yang ...
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior [paper] Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling --NeurIPS 2018 Incremental Learning-to-Learn with Statistical Guarantees [paper] Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil --UAI 2018 ...
The formulation of the theory on a spacetime lattice provides a non-perturbative regularization of the theory with the lattice spacing playing the role of an inverse UV cutoff. Modern LGT calculations have provided precise quantitative results and important insights for QCD4, nuclear physics5, and ...
et al. An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling. Applied Sciences (Switzerland), 2022, 12(20): 10196. DOI:10.3390/app122010196 69. Saha, S., Gayen, A., Bayen, B. Deep learning ...
33 use DDPG algorithm to obtain the inverse kinematics of 5-DOF arm robot. Malik et al.2 use PoE as a Forward Kinematics computation tool and the DQN as an IK solver. Adolfo et al.35 regard each joint of the robot as one agent to train a reinforcement learning model. Zhang et al....
An "learn one equals learn all" Julia Package SciML/GalacticOptim.jl: Local, global, and beyond optimization for scientific machine learning (SciML) Opt Organization: JuliaOpt JuliaNLSolvers Process Systems and Operations Research Laboratory JuliaNLSolvers/Optim.jl: Optimization functions for Julia Juli...