Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"input-dependent noise"”.
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Sequential learning, large-scale calibration, and uncertainty quantification
… exploration to facilitate separating signal from input-dependent noise. Motivated by challenges in both large data size and model fidelity arising from ever larger modern computer experiments, highly accurate and computationally efficient divide-and-conquer calibration methods based on on-site …
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Consistency and Uniform Bounds for Heteroscedastic Simulation Metamodeling and Their Applications
… provides an accurate approximation of the input-output relationship implied by a stochastic simulation experiment whose output is subject to input-dependent noise variance. Several challenges remain unsolved in this field. First, in-depth investigations into the consistency of …
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EMG-Based Human-in-the-Loop Bayesian Optimization to Assist Hip-Centric Activities
… Expected Hypervolume Improvement that capture input-dependent noise, improving predictive accuracy by 23-31%. Supporting investigations establish practical design principles. Systematic evaluation across 12 participants performing 30 conditions each reveals that simple amplitude summation …
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Computer Experimental Design for Gaussian Process Surrogates
… and related fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. This dissertation focuses on the design problem under Gaussian process surrogates. The first work demonstrates empirically that space-filling designs disappoint when …
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Multiple access networks over finite fields : optimality of separation, randomness and linearity
… a time-slotted multiple access noisy as well as noise-free channel in which the received, transmit and noise alphabets belong to a finite field. We show that source-channel separation holds when the additive noise is independent of inputs. However, for input-dependent noise, separation may not …