Pages that link to "Item:Q2044566"
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The following pages link to An effective procedure for feature subset selection in logistic regression based on information criteria (Q2044566):
Displaying 14 items.
- Best subset selection via a modern optimization lens (Q282479) (← links)
- Feature subset selection for logistic regression via mixed integer optimization (Q301699) (← links)
- Best subset binary prediction (Q1668571) (← links)
- Logistic regression: from art to science (Q1750250) (← links)
- Best Subsets Logistic Regression (Q3201390) (← links)
- A penalty decomposition approach for multi-objective cardinality-constrained optimization problems (Q5058409) (← links)
- APPLICATION OF A MIXED INTEGER NONLINEAR PROGRAMMING APPROACH TO VARIABLE SELECTION IN LOGISTIC REGRESSION (Q5232597) (← links)
- PIECEWISE-LINEAR APPROXIMATION FOR FEATURE SUBSET SELECTION IN A SEQUENTIAL LOGIT MODEL (Q5267563) (← links)
- Variable Selection for Logistic Regression Using a Prediction‐Focused Information Criterion (Q5295350) (← links)
- An automated exact solution framework towards solving the logistic regression best subset selection problem (Q6150320) (← links)
- Mixed-integer quadratic programming reformulations of multi-task learning models (Q6195559) (← links)
- A mixed-integer exponential cone programming formulation for feature subset selection in logistic regression (Q6491335) (← links)
- Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms (Q6493974) (← links)
- On the convergence of inexact alternate minimization in problems with \(\ell_0\) penalties (Q6559515) (← links)
