Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...

A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...

Vector graph or chart of quadratic or polynomial function with formula f(x) = ax2 + bx + c. The mathematical operation, basic function. Graph with grid and coordinates isolated on white background.

Department of Electronics Engineering, Indian Institute of Technology (ISM), Dhanbad, India In this paper, a landmark based approach, using five different interpolating polynomials (linear, cubic ...