Technological Trends in Computation and Informatics gathers the studies of professors that work with research and in the commercial sector, the book focuses on subjects that ...

When nonlinear models are fitted to data it is important to make sure that the data is not overfitted. The reason for this is that many possible model structures, all with ...

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for ...

A probability Denisty Functional Transform(DFT) is created from the past years stock price chart and the day to day ratios of price magnitude to allow us to estimate ...

Untangling neural nets turns out to be a job well suited for Mathematica. With it researchers can test algorithms and view the results graphically.

We will begin by giving a brief introduction to queueing theory and its history. This will be followed by a discussion of the functions available in Mathematica 9 for the ...

Patent citations are part of the legal patent process where the patent applicant has the duty to disclose any knowledge of “prior art” among previous patents. Some ...

This notebook arose from research on the statistical geometry of stochastic fibre networks. Quite a lot of theory exists for the purely random case, based on a Poisson ...

The PNGBitmap package reads and writes Portable Network Graphics bitmaps into the kernel of Mathematica. The images can be manipulated, written and used as textures for ...

This pioneering book presents a study of the interrelationships among operator calculus, graph theory, and quantum probability in a unified manner, with significant emphasis ...