Results 41 to 50 of about 2,121,485 (269)
Deforestation modelling using logistic regression and GIS
Journal of Forest Science, 2015 A methodology has been used by means of which modellers and planners can quantify the certainty in predicting the location of deforestation. Geographic information system and logistic regression analyses were employed to predict the spatial distribution ...
M. Pir Bavaghar
doaj +1 more source
Group Logistic Regression Models with lp,q Regularization
Mathematics, 2022 In this paper, we proposed a logistic regression model with lp,q regularization that could give a group sparse solution. The model could be applied to variable-selection problems with sparse group structures. In the context of big data, the solutions for
Yanfang Zhang, Chuanhua Wei, Xiaolin Liu
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Sparse Bilinear Logistic Regression [PDF]
, 2014 In this paper, we introduce the concept of sparse bilinear logistic regression for decision problems involving explanatory variables that are two-dimensional matrices.
Baraniuk, Richard G. +2 more
core
Efficient posterior sampling for high-dimensional imbalanced logistic regression
, 2019 High-dimensional data are routinely collected in many areas. We are particularly interested in Bayesian classification models in which one or more variables are imbalanced.
Dunson, David +3 more
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FEBS Open Bio, EarlyView.A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo +7 more
wiley +1 more source
E-Jurnal Matematika, 2015 This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province.
EVI NOVIYANTARI FATIMAH +2 more
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Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
ANALISIS REGRESI LOGISTIK DALAM PENENTUAN MODEL BERAT BADAN BAYI LAHIR
Jurnal Matematika, 2012 Infant weight at Birth (BBBL) is one standard of The Healthy Program with expectation is the Normal In-fant Weight at Birth (³ 2,5 kg). The factors which influence to BBBL are weight, height, parities, ages, hae-moglobin pencentage, blood pressure and ...
I GUSTI AYU MADE SRINADI
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Predicting Customer’s Satisfaction (Dissatisfaction) Using Logistic Regression [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2016 Customer satisfaction is a metric of how products and services offered by companies meet customer expectations. This performance indicator assists companies in managing and monitoring their business effectively.
Adarsh Anand, Gunjan Bansal
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Forum Geografi, 2023 Kubu Raya Regency is a regency in the province of West Kalimantan which has a wetland ecosystem including a high-density swamp or peatland ecosystem along with an extensive area of mangroves.
Alfa Nugraha Pradana +2 more
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