Results 21 to 30 of about 148,159 (238)
Fast Kernel Smoothing in R with Applications to Projection Pursuit
Journal of Statistical Software, 2022 This paper introduces the R package FKSUM, which offers fast and exact evaluation of univariate kernel smoothers. The main kernel computations are implemented in C++, and are wrapped in simple, intuitive and versatile R functions.
David P. Hofmeyr
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Latent Factor Prediction Pursuit for Rank Deficient Regressors [PDF]
, 2004 In simulation studies Latent Factor Prediction Pursuit outperformed classical reduced rank regression methods. The algorithm described so far for Latent Factor Prediction Pursuit had two shortcomings.
Czogiel, I., Luebke, K., Weihs, C.
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Sparse Representation of Astronomical Images [PDF]
, 2012 Sparse representation of astronomical images is discussed. It is shown that a significant gain in sparsity is achieved when particular mixed dictionaries are used for approximating these types of images with greedy selection strategies.
Andrle +22 more
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Legendre polynomial order selection in projection pursuit density estimation
Lietuvos Matematikos Rinkinys, 2013 Projection pursuit method and its application to probability density estimation is discussed. Method proposed by J.H. Friedman, based on projection density estimation using orthogonal Legendre polynomials, is analysed.
Mindaugas Kavaliauskas
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A Credit Rating Model for Enterprises Based on Projection Pursuit and K-Means Clustering Algorithm [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2012 This paper proposes a new credit rating model for enterprises based on the Projection Pursuit and K-means clustering algorithm. Firstly, using Projection Pursuit, the comprehensive credit score of each sample is obtained, so as to reflect the structure ...
Mu Zhang, Zongfang Zhou
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Mathematics, 2023 According to the United Nations World Tourism Organization, tourism promotes sustainable economic development. Ensuring tourism safety is an essential prerequisite for its sustainable development.
Chenghao Zhong, Wengao Lou, Yongzeng Lai
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Application of projection pursuit in gas emission predictio
Gong-kuang zidonghua, 2015 In view of problem of data information lost and low prediction accuracy caused by common descending dimension methods for gas monitoring data in gas emission prediction, high dimensional sample data is transformed into one-dimensional projection data by ...
WANG Jiangrong, LUO Ziqin, ZHAO Rui
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Informative Data Projections: A Framework and Two Examples [PDF]
, 2015 Methods for Projection Pursuit aim to facilitate the visual exploration of high-dimensional data by identifying interesting low-dimensional projections. A major challenge is the design of a suitable quality metric of projections, commonly referred to as ...
De Bie, Tijl +3 more
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Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related [PDF]
, 2015 This paper considers a recently emerged hyperspectral unmixing formulation based on sparse regression of a self-dictionary multiple measurement vector (SD-MMV) model, wherein the measured hyperspectral pixels are used as the dictionary.
Bioucas-Dias, José M. +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source