Results 71 to 80 of about 4,991,757 (343)
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
doaj +1 more source
Structured Learning via Logistic Regression [PDF]
, 2014 A successful approach to structured learning is to write the learning objective as a joint function of linear parameters and inference messages, and iterate between updates to each.
Domke, Justin
core
Change in Cognition Following Ischaemic Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive decline can occur following ischaemic stroke. How cognition changes over time and associations with cognitive change are poorly understood. This study aimed to explore these issues over 2 years following ischaemic stroke.
Wenci Yan +8 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
doaj +1 more source
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
doaj +1 more source
Diagnosing Multicollinearity of Logistic Regression Model
Asian Journal of Probability and Statistics, 2019 One of the key problems arises in binary logistic regression model is that explanatory variables being considered for the logistic regression model are highly correlated among themselves.
N. Senaviratna, T. M. J. A. Cooray
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
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
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
doaj +1 more source
Read this paper if you want to learn logistic regression
Revista de Sociologia e Política, 2020 Introduction: What if my response variable is binary categorical? This paper provides an intuitive introduction to logistic regression, the most appropriate statistical technique to deal with dichotomous dependent variables.
A. Fernandes +3 more
semanticscholar +1 more source