CEO Jeff Hirsch sees Starz joining the M&A fray with "marooned" linear networks that big owners might not value but could be repositioned for digital.

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...

The precedence relations of a precedence grammar can be precisely described by a two-dimensional precedence matrix. Often the information in the matrix can be represented more concisely by a pair of ...

Abstract: Network function computation is investigated in the letter. In the model, a target function, of which the inputs are generated at multiple source nodes, is ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The Linear MCP currently returns all issues including completed ones when using list_issues or list_my_issues, which can bloat context unnecessarily when working with AI assistants. When calling the ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

A clearly defined purpose helps attract the right clients, leading to stronger, more productive relationships and minimizing issues like miscommunication and scope creep. A defined and clear “why” not ...

In this manuscript, the authors describe a new AlphaFold2 pipeline called PabFold that can represent a useful tool for identifying linear antibody epitopes (B-cell epitopes) for different antigens.