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← Core Methods
Machine Learning
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Core Methods
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Feature Selection
462 directly classified papers
Papers per year
2001: 1
2003: 11
2004: 4
2005: 1
2006: 6
2007: 13
2008: 8
2009: 11
2010: 17
2011: 14
2012: 18
2013: 26
2014: 20
2015: 14
2016: 23
2017: 27
2018: 24
2019: 28
2020: 35
2021: 29
2022: 34
2023: 36
2024: 32
2025: 26
2026: 4
Papers
Dimensionality Reduction via Sparse Support Vector Machines
JMLR 2003
Extensions to Metric-Based Model Selection
JMLR 2003
Ranking a Random Feature for Variable and Feature Selection
JMLR 2003
Overfitting in Making Comparisons Between Variable Selection Methods
JMLR 2003
Variable Selection Using SVM-based Criteria
JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
JMLR 2003
An Extensive Empirical Study of Feature Selection Metrics for Text Classification
JMLR 2003
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification
JMLR 2003
Benefitting from the Variables that Variable Selection Discards
JMLR 2003
An Introduction to Variable and Feature Selection
JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization
JMLR 2003
Sparse Bayesian Learning and the Relevance Vector Machine
JMLR 2001
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