Learn about inverse ETFs, their function, differences from short selling, and their role and risks in active trading strategies.

The methods of Behavior Cloning (BC) and Dataset Aggregation (DAgger) belongs to this approach. Inverse Reinforcement Learning (IRL), on the other hand, is a method to learn a cost function, i.e, ...

In this study, the existence solutions for inverse mixed variational inequalities (IMVIs) are proved by using KKM technique without monotonicity and coercivity ...

Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function Olli-Pekka Koistinen ...

Solving electromagnetic inverse scattering problems (ISPs) is challenging due to the intrinsic nonlinearity, ill-posedness, and expensive computational cost. Recently, deep neural network (DNN) ...

In the paper, the authors find series expansions and identities for positive integer powers of inverse (hyperbolic) sine and tangent, for composite of incomplete gamma function with inverse hyperbolic ...

At the end of the course, learners will be assessed through a final evaluation to test their overall understanding.

This repository contains the Azure SQL bindings for Azure Functions extension code as well as a quick start tutorial and samples illustrating how to use the binding in different ways. The types of ...

National Council of Educational Research and Training (NCERT) has introduced a new initiative where students will be offered ...

Now that you know what log a x means, you should know and be able to use the following results, known as the laws of logarithms.