Results 1 to 10 of about 9,025 (146)
Projection pursuit in high dimensions [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2018 Significance A key challenge in analyzing high-dimensional data is to extract meaningful low-dimensional structures, which typically represent signals of interest. Standard and widely used methods include principal components analysis (PCA), independent component analysis (ICA), and projection pursuit.
Gil Kur, Boaz Nadler, Nadler Boaz
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Molecular function recognition by supervised projection pursuit machine learning [PDF]
Scientific Reports, 2021 Identifying mechanisms that control molecular function is a significant challenge in pharmaceutical science and molecular engineering. Here, we present a novel projection pursuit recurrent neural network to identify functional mechanisms in the context ...
Tyler Grear +3 more
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Automatic phenotyping using exhaustive projection pursuit [PDF]
Communications BiologyOne of the most common objectives in the analysis of flow cytometry data is the identification and delineation of phenotypes, distinct populations of cells with shared characteristics in the measurement dimensions.
Wayne A. Moore +5 more
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Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit [PDF]
Entropy, 2019 To provide a scientific reference for formulating an effective soybean irrigation schedule in the Huaibei Plain, potted water deficit experiments with nine alternative irrigation schemes during the 2015 and 2016 seasons were conducted.
Yi Cui +4 more
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Application of projection pursuit regression model for blasting vibration velocity peak prediction [PDF]
Archives of Civil Engineering, 2021 Based on Projection Pursuit Regression Theory (PPRT), a projection pursuit regression model has been established for forecasting the peak value of blasting vibration velocity.
Jianjun Shi, Huaming An, Xin Wei
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On Projection Pursuit Regression
Annals of Statistics, 1989 We construct a tractable mathematical model for kernel-based projection pursuit regression approximation. The model permits computation of explicit formulae for bias and variance of estimators. It is shown that the bias of an orientation estimate dominates error about the mean--indeed, the latter is asymptotically negligible in comparison with bias ...
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Tree-Structured Regression Model Using a Projection Pursuit Approach
Applied Sciences, 2021 In this paper, a new tree-structured regression model—the projection pursuit regression tree—is proposed. It combines the projection pursuit classification tree with the projection pursuit regression.
Hyunsun Cho, Eun-Kyung Lee
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Bayesian projection pursuit regression
Statistics and Computing, 2023 30 pages, 14 figures, supplemental ...
Gavin Collins +2 more
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Discussion: Projection Pursuit
The Annals of Statistics, 1985 Cheng, Ping, Wu, C. F. J.
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Guan'gai paishui xuebao, 2021 【Background】 Practical problems in water science and engineering are diverse and complex, characterized by nonlinearity and multi-dimensions. Satisfactory solutions to them are not easy to obtain using traditional data analysis methods.
ZHOU Rongxing +5 more
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