Výsledky vyhledávání - "Nelson, Aaron"

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Random Vector Functional Link Networks for Function Approximation on Manifolds

Autor: Needell, Deanna, Nelson, Aaron A., Saab, Rayan, Salanevich, Palina, Schavemaker, Olov

Publikováno v: Frontiers in Applied Mathematics and Statistics 10 (2024), 2297-4687

The learning speed of feed-forward neural networks is notoriously slow and has presented a bottleneck in deep learning applications for several decades. For instance, gradient-based learning algorithms, which are used extensively to train neural netw

Externí odkaz: http://arxiv.org/abs/2007.15776

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Dissertation/ Thesis

The Effect of a Major Customer's Information Quality on Its Supplier's Investment Decisions

Autor: Nelson, Aaron Solomon

In this study, I examine the role that a major customer’s information quality plays in a supplier’s investment decisions. I propose that the flow of high-quality information from a customer to its suppliers reduces a supplier’s uncertainty and

Externí odkaz: http://rave.ohiolink.edu/etdc/view?acc_num=osu1534020221577415

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New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds

Autor: Iwen, Mark, Lybrand, Eric, Nelson, Aaron, Saab, Rayan

We study the problem of approximately recovering signals on a manifold from one-bit linear measurements drawn from either a Gaussian ensemble, partial circulant ensemble, or bounded orthonormal ensemble and quantized using Sigma-Delta or distributed

Externí odkaz: http://arxiv.org/abs/1902.03726

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