Pages that link to "Item:Q2005523"
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The following pages link to Variable selection in classification for multivariate functional data (Q2005523):
Displaying 15 items.
- Feature selection for functional data (Q268756) (← links)
- Classification of functional data: a segmentation approach (Q1023839) (← links)
- A dual reformulation and solution framework for regularized convex clustering problems (Q2029898) (← links)
- A novel embedded min-max approach for feature selection in nonlinear support vector machine classification (Q2030496) (← links)
- Selection of time instants and intervals with support vector regression for multivariate functional data (Q2664383) (← links)
- Variable selection in functional data classification: a maxima-hunting proposal (Q2796872) (← links)
- Most-predictive design points for functional data predictors (Q3067009) (← links)
- A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors (Q3576922) (← links)
- (Q4209624) (← links)
- Classification of multivariate functional data on different domains with partial least squares approaches (Q6089207) (← links)
- Interval-valued functional clustering based on the Wasserstein distance with application to stock data (Q6191176) (← links)
- A global test for heteroscedastic one-way FMANOVA with applications (Q6541931) (← links)
- Multivariate functional subspace classification for high-dimensional longitudinal data (Q6578481) (← links)
- Review on functional data classification (Q6604352) (← links)
- Functional data analysis: an introduction and recent developments (Q6649359) (← links)
