Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks.
sparse means that the majority of x’s components (weights) are zeros, only few are non-zeros. And a sparse solution could avoid over-fitting. That’s it, that’s how they explain it in most of the articles, textbooks, materials. Giving an idea without explanation feels like pushing a spear through