Identification of sedimentary facies with well logs: an indirect approach with multinomial logistic regression and artificial neural network
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-3045-6
Abstract: Taking K-successions of the H-Zone of the Pearl River Mouth Basin as a testing example, we used two kinds of approaches to implement the microfacies identification. One is a direct identification, the other is an… read more here.
Keywords: logistic regression; neural network; multinomial logistic; indirect approach ... See more keywords
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1813587
Abstract: Abstract We introduce Bayesian additive regression trees (BART) for log-linear models including multinomial logistic regression and count regression with zero-inflation and overdispersion. BART has been applied to nonparametric mean regression and binary classification problems in… read more here.
Keywords: regression; multinomial logistic; regression trees; log linear ... See more keywords
Distributed Parallel Sparse Multinomial Logistic Regression
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913280
Abstract: Sparse Multinomial Logistic Regression (SMLR) is widely used in the field of image classification, multi-class object recognition, and so on, because it has the function of embedding feature selection during classification. However, it cannot meet… read more here.
Keywords: logistic regression; smlr; problem; multinomial logistic ... See more keywords
Maximal Uncorrelated Multinomial Logistic Regression
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921820
Abstract: Multinomial logistic regression (MLR) has been widely used in the field of face recognition, text classification, and so on. However, the standard multinomial logistic regression has not yet stressed the problem of data redundancy. That… read more here.
Keywords: logistic regression; maximal uncorrelated; data redundancy; multinomial logistic ... See more keywords
Kronecker Factorization-Based Multinomial Logistic Regression for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3101509
Abstract: Multinomial logistic regression (MLR) has become prevailing for supervised learning within hyperspectral images (HSIs) community. It seeks the optimal regressors with the given training data. To better understand HSI data and learn more representative spatial… read more here.
Keywords: logistic regression; factorization based; multinomial logistic; kronecker factorization ... See more keywords
Hyperspectral Image Classification Powered by Khatri-Rao Decomposition based Multinomial Logistic Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3173474
Abstract: Multinomial logistic regression (MLR) is of great significance in hyperspectral image (HSI) classification within remote sensing community. It seeks the optimal regressors with logistic loss function. In the past, spatial information has been widely used… read more here.
Keywords: logistic regression; classification; rao decomposition; multinomial logistic ... See more keywords
Approximate Sparse Multinomial Logistic Regression for Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2904062
Abstract: We propose a new learning rule for sparse multinomial logistic regression (SMLR). The new rule is the generalization of the one proposed in the pioneering work by Krishnapuram et al. In our proposed method, the… read more here.
Keywords: logistic regression; approximate sparse; multinomial logistic; classification ... See more keywords
Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti
Sign Up to like & getrecommendations! Published in 2018 at "Revista Brasileira De Ciencia Do Solo"
DOI: 10.1590/18069657rbcs20170133
Abstract: ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map… read more here.
Keywords: logistic regression; western haiti; mapping; multinomial logistic ... See more keywords
Parental Perceptions of Youths’ Desirable Characteristics in Relation to Type of Leisure: A Multinomial Logistic Regression Analysis of Martial-Art-Practicing Youths
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19095725
Abstract: Parents place their youths in sport with the belief that doing so will produce developmental outcomes. However, it is unclear if parents enroll children in different sports based on different desired characteristics they wish their… read more here.
Keywords: multinomial logistic; regression analysis; logistic regression; leisure ... See more keywords
Multinomial Logistic Regression to Estimate and Predict the Perceptions of Individuals and Companies in the Face of the COVID-19 Pandemic in the Ñuble Region, Chile
Sign Up to like & getrecommendations! Published in 2020 at "Sustainability"
DOI: 10.3390/su12229553
Abstract: The Coronavirus Disease 2019 (COVID-19) pandemic is transforming the world we live in, revealing our health, economic, and social weaknesses. In the local economy, the loss of job opportunities, the uncertainty about the future of… read more here.
Keywords: logistic regression; estimate predict; multinomial logistic; regression estimate ... See more keywords