Results 21 to 30 of about 2,550,298 (280)
The algorithm audit: Scoring the algorithms that score us
Big Data & Society, 2021 In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the misuse of data.
S. Brown, Jovana Davidović, Ali Hasan
semanticscholar +1 more source
Group-theoretic algorithms for matrix multiplication [PDF]
, 2005 We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and Umans, and for the first time use it to derive algorithms asymptotically faster than the standard algorithm.
Cohn, Henry +3 more
core +3 more sources
Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence
Sensors, 2018 One of the main challenges faced by wireless sensor network (WSN) localization is the positioning accuracy of the WSN node. The existing algorithms are arduous to use for dealing with the pulse noise that is universal and ineluctable in practical ...
Chunsheng Liu, Hong Shan, Bin Wang
doaj +1 more source
Applied Sciences, 2023 This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS).
Vasundhara Shukla, Preety D. Swami
doaj +1 more source
Crop Journal, 2020 Owing to high power and accuracy and low false positive rate in our multi-locus approaches for genome-wide association studies and linkage analyses, these approaches have attracted considerable attention in plant and animal genetics.
Yangjun Wen +4 more
doaj +1 more source
Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]
ITM Web of ConferencesNonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui +2 more
doaj +1 more source
Exploring corner transfer matrices and corner tensors for the classical simulation of quantum lattice systems [PDF]
, 2012 In this paper we explore the practical use of the corner transfer matrix and its higher-dimensional generalization, the corner tensor, to develop tensor network algorithms for the classical simulation of quantum lattice systems of infinite size.
A. Altland +5 more
core +2 more sources
Randomized Matrix Decompositions Using R
Journal of Statistical Software, 2019 Matrix decompositions are fundamental tools in the area of applied mathematics, statistical computing, and machine learning. In particular, low-rank matrix decompositions are vital, and widely used for data analysis, dimensionality reduction, and data ...
N. Benjamin Erichson +3 more
doaj +1 more source
Non-negative Matrix Factorization for Dimensionality Reduction [PDF]
ITM Web of Conferences, 2022 —What matrix factorization methods do is reduce the dimensionality of the data without losing any important information. In this work, we present the Non-negative Matrix Factorization (NMF) method, focusing on its advantages concerning other methods of ...
Olaya Jbari, Otman Chakkor
doaj +1 more source
An Indictment of Bright Line Tests for Honest Services Mail Fraud [PDF]
, 2004 Sparse matrix-matrix multiplication (SpGEMM) is a computational primitive that is widely used in areas ranging from traditional numerical applications to recent big data analysis and machine learning.
Azad, A +3 more
core +3 more sources