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Found 7 papers, 1 papers with code
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix
This equivalent formulation is employed to analyze the distance between ${\hat{\boldsymbol\beta}\;}_{\mathrm{PLS}}^{\scriptscriptstyle {(L)}}$, the PLS estimator of the vector of coefficients of the linear regression model based on $L$ PLS components, and $\hat{\boldsymbol \beta}_{\mathrm{OLS}}$, the one obtained by ordinary least squares (OLS), as a function of $L$.
scikit-fda: A Python Package for Functional Data Analysis
The library scikit-fda is a Python package for Functional Data Analysis (FDA).
Feature selection in functional data classification with recursive maxima hunting
The results of an extensive empirical evaluation are used to illustrate that, in the problems investigated, RMH has comparable or higher predictive accuracy than the standard dimensionality reduction techniques, such as PCA and PLS, and state-of-the-art feature selection methods for functional data, such as maxima hunting.
Pooling homogeneous ensembles to build heterogeneous ones
The M vertices of this simplex represent the different homogeneous ensembles.
An urn model for majority voting in classification ensembles
An analysis of this classical urn model based on the hypergeometric distribution makes it possible to estimate the confidence on the outcome of majority voting when only a fraction of the individual predictions is known.
Vote-boosting ensembles
In fact, at sufficiently high levels of class-label noise, the focus should be on instances on which the ensemble classifiers agree.
Non-linear Causal Inference using Gaussianity Measures
The problem of non-linear causal inference is addressed by performing an embedding in an expanded feature space, in which the relation between causes and effects can be assumed to be linear.
