while non-linear structures offer more intricate relationships between elements. Non-linear data structures are those that store data in a hierarchical or networked order, where each element can ...

However, because non-linear models are more flexible, there's a higher risk of overfitting—capturing random noise in the data as if it were part of the underlying model. Choosing between linear ...

Abstract: Supervised dimensionality reduction for sequence data learns a transformation that maps the observations in sequences onto a low-dimensional subspace by maximizing the separability of ...

Abstract: We present a novel method of nonlinear discriminant analysis involving a set of locally linear transformations called "Locally Linear Discriminant Analysis" (LLDA). The underlying idea is ...