Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Joint adaptive loss and l2/l0-norm minimization for unsupervised feature selection
Spectral feature selection for supervised and unsupervised learning
Robust unsupervised feature selection on networked data
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
Annealed Sparsity via Adaptive and Dynamic Shrinking
Relief-Based Feature Selection: Introduction and Review
Robust Feature Selection Using Ensemble Feature Selection Techniques
A feature selection method based on minimum redundancy maximum relevance for learning to rank
An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
Regression shrinkage and selection via the lasso : a retrospective
A review of feature selection methods with applications
Feature Selection Based on Joint Mutual Information
Stable feature selection via dense feature groups
On Random Weights and Unsupervised Feature Learning
Adaptive Neighborhood Propagation by Joint L2,1-Norm Regularized Sparse Coding for Representation and Classification
Efficient Feature Selection via Analysis of Relevance and Redundancy
Survey on Feature Selection for Data Reduction
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR)
Convex principal feature selection
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Preconditioning with ischemia: a delay of lethal cell injury in ischemic myocardium
Using Information Retrieval to Evaluate Trustworthiness Assessment of Eshops
On Spectral Clustering: Analysis and an algorithm
Enhancing EEG Surface Resolution by Using a Combination of Kalman Filter and Interpolation Method
Evaluation of health information systems - problems and challenges