Pages that link to "Item:Q1005647"
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The following pages link to Performance of feature-selection methods in the classification of high-dimension data (Q1005647):
Displaying 19 items.
- A neuro-fuzzy classification technique using dynamic clustering and GSS rule generation (Q313703) (← links)
- Fuzzy complex numbers and their application for classifiers performance evaluation (Q716372) (← links)
- Pattern-based feature selection in genomics and proteomics (Q863610) (← links)
- Bagging constraint score for feature selection with pairwise constraints (Q962802) (← links)
- On selecting interacting features from high-dimensional data (Q1621350) (← links)
- Ensemble feature selection for high dimensional data: a new method and a comparative study (Q1630850) (← links)
- High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
- Benchmark for filter methods for feature selection in high-dimensional classification data (Q2008133) (← links)
- Theory of optimal Bayesian feature filtering (Q2057352) (← links)
- A novel quality prediction method based on feature selection considering high dimensional product quality data (Q2086964) (← links)
- An opinion formation based binary optimization approach for feature selection (Q2148602) (← links)
- Analyzing high dimensional correlated data using feature ranking and classifiers (Q2183360) (← links)
- Unsupervised feature selection with ensemble learning (Q2260924) (← links)
- Feature selection for high-dimensional data (Q2271790) (← links)
- Selection of time instants and intervals with support vector regression for multivariate functional data (Q2664383) (← links)
- Why significant variables aren’t automatically good predictors (Q2962311) (← links)
- Modular proximal optimization for multidimensional total-variation regularization (Q4614088) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- Machine Learning: ECML 2004 (Q5450755) (← links)
