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Feature Selection

462 directly classified papers

Papers per year

Papers

New Perspectives on k-Support and Cluster Norms JMLR 2016
Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016
Subspace Learning with Partial Information JMLR 2016
Feature selection in functional data classification with recursive maxima hunting NIPS 2016
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016
On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016
Finding significant combinations of features in the presence of categorical covariates NIPS 2016
Simple and Efficient Weighted Minwise Hashing NIPS 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
Supervised Quantization for Similarity Search CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016
Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection INTERSPEECH 2016
Bayesian Markov Blanket Estimation AISTATS 2016
Estimating Mutual Information in Under-Reported Variables PGM 2016
Guarding against Spurious Discoveries in High Dimensions JMLR 2016
Structure-Leveraged Methods in Breast Cancer Risk Prediction JMLR 2016
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016
The knockoff filter for FDR control in group-sparse and multitask regression ICML 2016
No penalty no tears: Least squares in high-dimensional linear models ICML 2016
Learning Feature Aware Metric ACML 2016
Are Cohesive Features Relevant for Text Readability Evaluation? COLING 2016
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015