Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Multi-objective genetic algorithm approach to feature subset optimization
Feature Subset Selection Using A Genetic Algorithm
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
Optimization Algorithms for Feature Selection in Classification: A Survey
Margin based feature selection - theory and algorithms
Algorithms for feature selection: An evaluation
Binary Dragonfly Algorithm for Feature Selection
Objective reduction using a feature selection technique
A Feature Subset Selection Technique for High Dimensional Data Using Symmetric Uncertainty
A Fast Clustering-Based Feature Subset Selection Algorithm for High Dimensional Data
Random subspace method for multivariate feature selection
Hybrid Whale Optimization Algorithm with Simulated Annealing for Feature Selection
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
Wrappers for feature subset selection
Binary grey wolf optimization approaches for feature selection
data feature selection based on artificial bee colony algorithm .
feature selection for support vector machines by means of genetic algorithms .
Multi-Objective Optimization Using Genetic Algorithms: A Tutorial
A hybrid feature selection method for data sets of thousands of variables
genetic algorithm - based feature set partitioning for classification problems .
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions
Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
lifetime prevalence of mental disorders in u . s . adolescents : results from the national comorbidity survey replication - - adolescent supplement ( ncs - a ) .
Accounting for input model and parameter uncertainty in simulation