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Logistic Regression Model Training based on the Approximate Homomorphic Encryption
homomorphic encryption machine learning logistic regression
2018/3/8
Security concerns have been raised since big data became a prominent tool in data analysis. For instance, many machine learning algorithms aim to generate prediction models using training data which c...
Identifying the dependency pattern of daily rainfall of Dhaka station in Bangladesh using Markov chain and logistic regression model
Characteristics of Rainfall in Bangladesh Stochastic Models
2013/2/28
Bangladesh is a subtropical monsoon climate characterized by wide seasonal variations in rainfall, moderately warm temperatures, and high humidity. Rainfall is the main source of irrigation water ever...
Sensitivity Analysis to Select the Most Influential Risk Factors in a Logistic Regression Model
Risk Factors Logistic Regression Model
2009/9/3
The traditional variable selection methods for survival data depend on iteration procedures, and control of this process assumes tuning parameters that are problematic and time consuming, especially i...
Estimation of item location effects by means of the generalized logistic regression model:a simulation study and an application
Item location effect position effect Generalized Logistic Regression Model
2009/12/21
The present paper deals with the application of the generalized logistic regression model to the estimation of item location effects. A Monte Carlo study demonstrates that item difficulties and item l...