Sep 6, 2017 · In multiple variable minimization, the CD method minimizes the objective by solving a sequence of coordinate scalar minimization sub-problems.
Coordinate descent (CD) is an effective method for large scale classification problems with simple operations and fast convergence speed.
Sep 6, 2017 · The proposed method v-SMMTL-LR-CDdual can maximize the between-class margin and effectively improve the generalization performance of LR for ...
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Oct 22, 2024 · We introduce the multitask coupled logistic regression (LR) framework called LR-based multitask classification learning algorithm (MTC-LR), ...
Sep 3, 2024 · SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones, is often implemented through an SVM model.
May 9, 2018 · SVM is based on geometrical properties of the data whilst logistic regression is based on statistical approaches.
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Multi-task learning (MTL) is a methodology that aims to improve the general performance of estimation and prediction by sharing common information among ...
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A series of logistic regression models built on different time intervals so as to estimate the probability that the event of interest happened within each ...
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Apr 16, 2024 · Logistic regression is a supervised machine learning algorithm used for binary classification tasks, where the target variable has only two possible outcomes.