Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

However, since the losses and ranking metrics involved in LTR are both based on ranking, they are neither continuous nor differentiable, making it challenging to optimize them using gradient descent ...

Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development activity and support happen over there.

Finally, an improved version of the projected gradient descent algorithm is developed by using gradient norms to generate perturbations and enhance the manipulation of selected pixels. Our experiments ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

College of Mathematics, Hunan University, Changsha, Hunan, P. R. China Department of Mathematics and Computational Science, Huaihua University, Huaihua, Hunan, P. R ...

The MELPe algorithm was developed using several enhancements to the original MELP 2400 bps specification. MELPe implements a variable low bit rate vocoder that supports multiple rates of 600 bps, 1200 ...