Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
Kövari and Pommerenke [19], and Elliott [8], have shown that the truncated Faber series gives a polynomial approximation which (for practical values of the degree of the polynomial) is very close to ...
1 Warwick Mathematics Institute, The University of Warwick, Coventry, United Kingdom 2 School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang, China To ...
Abstract: Ensuring reliability in modern computing systems requires efficient and accurate error detection mechanisms. This paper explores a machine learning based ...
This is a preview. Log in through your library . Journal Information This journal, begun in 1943 as Mathematical Tables and Other Aids to Computation, publishes original articles on all aspects of ...
Machine Learning as a Service (MLaaS) introduces strong privacy concerns for both clients and model providers. Fully Homomorphic Encryption (FHE) offers a promising solution by enabling inference over ...
A quantum computer made of charged atoms can catch its own errors when performing any operation – a meaningful step towards more reliable and practical quantum computers. Conventional computers ...
Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in Baltimore have achieved a breakthrough in quantum noise characterization in ...
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