Results 221 to 230 of about 386,310 (261)
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Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space
SIAM Journal on Scientific Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elsa Cazelles +4 more
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IEEE Transactions on Neural Networks, 2000
Within the last years various principal component analysis (PCA) algorithms have been proposed. In this paper we use a general framework to describe those PCA algorithms which are based on Hebbian learning. For an important subset of these algorithms, the local algorithms, we fully describe their equilibria, where all lateral connections are set to ...
Andreas Weingessel, Kurt Hornik
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Within the last years various principal component analysis (PCA) algorithms have been proposed. In this paper we use a general framework to describe those PCA algorithms which are based on Hebbian learning. For an important subset of these algorithms, the local algorithms, we fully describe their equilibria, where all lateral connections are set to ...
Andreas Weingessel, Kurt Hornik
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The Clinical Journal of Pain, 1990
Patients (n = 120) undergoing major orthopedic (e.g., total hip replacement), urologic (e.g., radical prostatectomy), or gynecologic (e.g., total abdominal hysterectomy) procedures were randomly assigned to receive either morphine or oxymorphone postoperatively using a patient-controlled analgesic (PCA) delivery system.
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Patients (n = 120) undergoing major orthopedic (e.g., total hip replacement), urologic (e.g., radical prostatectomy), or gynecologic (e.g., total abdominal hysterectomy) procedures were randomly assigned to receive either morphine or oxymorphone postoperatively using a patient-controlled analgesic (PCA) delivery system.
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Final Safety Assessment for PCA and Sodium PCA
International Journal of Toxicology, 1999PCA is the cosmetic ingredient term used for the cyclic organic compound known commonly as pyroglutamic acid. Sodium PCA is the sodium salt of PCA. Both are used as hair and skin conditioning agents. These ingredients are recommended to be used in a concentration range of 0.2-4%.
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Forecasting crude oil prices: A scaled PCA approach
Energy Economics, 2021Yudong Wang, Yaojie Zhang, Mengxi He
exaly
PCA, arithmetic, and murmurations
International Journal of Data Science in the Mathematical SciencesWe outline how murmurations were first observed in the context of data scientific exploration. Specifically, we highlight the relationship between murmurations and PCA. Subsequently, we apply PCA to datasets of real quadratic fields, and speculate on an emergent perspective on arithmetic suggested by these experiments.
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Scaled PCA: A New Approach to Dimension Reduction
Management Science, 2022Guofu Zhou, Fuwei Jiang, Dashan Huang
exaly