Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
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[1] Samuel Kaski,et al. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data , 2019, bioRxiv.
[2] N. Koper. The Responsibility Dilemma The Role of the R2P in the U.S. Foreign Policy since the Rwanda Genocide , 2018 .
[3] Verónica Bolón-Canedo,et al. Can classification performance be predicted by complexity measures? A study using microarray data , 2017, Knowledge and Information Systems.
[4] Verónica Bolón-Canedo,et al. A review of microarray datasets and applied feature selection methods , 2014, Inf. Sci..
[5] Verónica Bolón-Canedo,et al. A review of feature selection methods on synthetic data , 2013, Knowledge and Information Systems.
[6] Huan Liu,et al. Searching for interacting features in subset selection , 2009, Intell. Data Anal..
[7] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[8] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] David H. Wolpert,et al. The Lack of A Priori Distinctions Between Learning Algorithms , 1996, Neural Computation.
[10] Igor Kononenko,et al. Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.