Improved feature selection with simulation optimization
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Publication:6173794
DOI10.1007/s11081-022-09726-3OpenAlexW4281844808MaRDI QIDQ6173794
Publication date: 13 July 2023
Published in: Optimization and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11081-022-09726-3
Cites Work
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- All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
- Subsemble: an ensemble method for combining subset-specific algorithm fits
- Mesh adaptive direct search algorithms for mixed variable optimization
- Bootstrap methods: another look at the jackknife
- Efficient global optimization of expensive black-box functions
- Monte Carlo bounding techniques for determinig solution quality in stochastic programs
- Learning Boolean concepts in the presence of many irrelevant features
- Two-stage nested partitions method for stochastic optimization
- A data-driven software tool for enabling cooperative information sharing among police departments
- Optimization-based feature selection with adaptive instance sampling
- Applied Predictive Modeling
- Algorithm 909
- Shapley Effects for Global Sensitivity Analysis: Theory and Computation
- Discrete Optimization via Simulation Using COMPASS
- The Predictive Sample Reuse Method with Applications
- Improvements on Cross-Validation: The .632+ Bootstrap Method
- Analysis of Generalized Pattern Searches
- ASTRO-DF: A Class of Adaptive Sampling Trust-Region Algorithms for Derivative-Free Stochastic Optimization
- BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables
- Efficient Ranking and Selection in Parallel Computing Environments
- Multiple predictingK-fold cross-validation for model selection
- Integer-Ordered Simulation Optimization using R-SPLINE
- 10.1162/153244303322753616
- Mesh Adaptive Direct Search Algorithms for Constrained Optimization
- A Direct Method of Nonparametric Measurement Selection
- A Simplex Method for Function Minimization
- Random forests
- Gene selection for cancer classification using support vector machines
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