Abstract: Distributional approximation is a fundamental problem in machine learning with numerous applications across all fields of science and engineering and beyond. The key challenge in most ...
One of the most well-known approximations in physics is the spherical cow. For generations, physicists have treated cows as spheres, a simplifying assumption to make the math easier. However, this ...
Abstract: Nonnegative low-rank matrix approximation is an important technique in data analysis for extracting meaningful patterns from high-dimensional nonnegative data. This nonnegative low-rank ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results