The latest JavaScript specification standardizes a well-balanced and thoughtful set of features, including the built-in ...

Many dimensionality reduction methods in the manifold learning field have the so-called small-sample-size (SSS) problem. Starting from solving the SSS problem, we first summarize the existing ...

The element-wise functions of a matrix are widely used in machine learning. For the applications with large matrices, efficiently computing the matrix-vector multiplication of matrix element-wise ...

The research goes beyond merely identifying components; it delves into understanding the functions of the nuclear matrix and its associated proteins in chromatin regulation.

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Time-lagged regression using temporal response functions (TRFs) has recently emerged as a promising tool for disentangling electrophysiological brain responses related to such complex models of ...

Keywords: extracellular matrix proteins, elastin, small artery development, myogenic reactivity, endothelial function Citation: Nourian Z, Hong K, Li M, Castorena-Gonzalez JA, Martinez-Lemus LA, ...