Spread the loveLinear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to ...

Second, we present sample-size tables for order-constrained ANOVA, followed by sample-size tables for inequality-constrained linear regression models. For both models we present sample-size tables ...

Computation of non-linear functions such as hyperbolic tangent and sigmoid is critical in machine learning. Furthermore, precision requirement varies across different layers in deep neural networks.

In order to make the LuT learning sample-adaptive, we parameterize the intensity mapping function by exploring two families of non-linear functions (i.e., piece-wise linear and power functions) and ...

Deep Reinforcement Learning (RL) powered by neural net approximation of the Q function has had enormous empirical success. While the theory of RL has traditionally focused on linear function ...

For example, provide students with a table and a graph and ask them to determine whether the function is linear or nonlinear. They can then match the table with the corresponding graph.