Add to ORKGLogistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to Support Vector Machines (SVM) and AdaBoost. In this paper
This text offers an introduction to binary logistic regression, a confirmatory technique for statist...
The improvements in the data science profession have allowed the introduction of several mathematica...
International audienceLogistic regression is a standard tool in statistics for binary classification...
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensi...
The focus of this thesis is fast and robust adaptations of logistic regression (LR) for data mining ...
Binary classification is a core data mining task. For large datasets or real-time applications, desi...
Binary classification is a core data mining task. For large datasets or real-time applications, desi...
The classification of observations is an important constituent of statistics and machine learning, e...
A new edition of the definitive guide to logistic regression modeling for health science and other ...
Proceedings of the International Conference on Science and Science Education August 2015, p. MA.8-12...
Abstract-Support Vector Machine (SVM) and Logistic Regression (LR) are two popular classification mo...
Although popular and extremely well established in mainstream statistical data analysis, logistic re...
Logistic regression is a widely used statistical method in data analysis and machine learning. When ...
Thesis (Master's)--University of Washington, 2019This master’s thesis evaluates and implements power...
Mean (standard deviation) is reported for the performance metrics. Previous results using 51 pairs [...
This text offers an introduction to binary logistic regression, a confirmatory technique for statist...
The improvements in the data science profession have allowed the introduction of several mathematica...
International audienceLogistic regression is a standard tool in statistics for binary classification...
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensi...
The focus of this thesis is fast and robust adaptations of logistic regression (LR) for data mining ...
Binary classification is a core data mining task. For large datasets or real-time applications, desi...
Binary classification is a core data mining task. For large datasets or real-time applications, desi...
The classification of observations is an important constituent of statistics and machine learning, e...
A new edition of the definitive guide to logistic regression modeling for health science and other ...
Proceedings of the International Conference on Science and Science Education August 2015, p. MA.8-12...
Abstract-Support Vector Machine (SVM) and Logistic Regression (LR) are two popular classification mo...
Although popular and extremely well established in mainstream statistical data analysis, logistic re...
Logistic regression is a widely used statistical method in data analysis and machine learning. When ...
Thesis (Master's)--University of Washington, 2019This master’s thesis evaluates and implements power...
Mean (standard deviation) is reported for the performance metrics. Previous results using 51 pairs [...
This text offers an introduction to binary logistic regression, a confirmatory technique for statist...
The improvements in the data science profession have allowed the introduction of several mathematica...
International audienceLogistic regression is a standard tool in statistics for binary classification...