Results 11 to 20 of about 148,159 (238)
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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Statistical Estimation of Discriminant Space using Various Projection Indices
Nonlinear Analysis, 2001 Projection pursuit is a method for finding interesting projections of high-dimensional multivariate data. Typically interesting projections are found by numerical maximizing some measure of non-normality of projected data (so-called projection index ...
R. Krikštolaitis
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Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model
Lithosphere, 2022 After coal mining, mining fissures develop, which may lead to an overlying aquifer and water inrush. Objectively and accurately evaluating and predicting the water abundance of the bottom aquifer of the Cenozoic are of great significance for ensuring ...
Yaoshan Bi +5 more
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Optimized Projection Matrix for Compressive Sensing
EURASIP Journal on Advances in Signal Processing, 2010 Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix.
Xu Jianping, Pi Yiming, Cao Zongjie
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Robust functional principal components: A projection-pursuit approach [PDF]
, 2011 In many situations, data are recorded over a period of time and may be regarded as realizations of a stochastic process. In this paper, robust estimators for the principal components are considered by adapting the projection pursuit approach to the ...
Bali, Juan Lucas +3 more
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Journal of King Saud University: Computer and Information Sciences, 2017 This article consists of using biologically inspired algorithms in order to detect potentially interesting structures in large and multidimensional data sets. Data exploration and the detection of interesting structures are based on the use of Projection
Souad Larabi Marie-Sainte
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Agronomy, 2022 In the breeding of new sugarcane varieties, the survey data do not always conform with a normal or linear distribution. To apply non-normal or non-linear data to evaluate new material requires a suitable evaluation model or method. The projection pursuit
Yong Zhao +7 more
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Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification [PDF]
, 2007 Particle swarm optimization (PSO) is introduced to implement a new constructive learning algorithm for training generalized cellular neural networks (GCNNs) for the identification of spatio-temporal evolutionary (STE) systems.
Billings, S.A., Wei, H.L.
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