The linear function is popular in economics. It is attractive because it is simple and easy to handle mathematically. It has many important applications. Linear functions are those whose graph is a ...

About Implements linear algebra operations built from the ground up, and includes a detailed explanation of the mathematical foundations. Includes numerical methods, decompositions, spectral calculus, ...

R. Thompson, R. J. Baker, Composite Link Functions in Generalized Linear Models, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 30, No ...

Many data are suitably modeled by functions consisting of straight-line segments. These functions may be called piecewise-linear. Smooth functions that are related to the hyperbola and that have ...

Such functions are called linear, for reasons that I'll explain soon enough (well, we generally want another condition for linear functions involving scalar multiples of the variable, but I'll ...

Embeddings of high-dimensional data are widely used to explore data, to verify analysis results, and to communicate information. Their explanation, in particular with respect to the input attributes, ...

In today's deep learning community, three activation functions are commonly used: the sigmoid function, the tanh function and the Rectified Linear Unit, or ReLU for short. When you're building a deep ...