These assumptions may be formed or refined using different approaches, such as technical or fundamental analysis, or they may even stem from a sudden key development in the markets or the global ...
Low-rank priors, a fundamental assumption for dimensionality reduction, have attracted a lot of attention in the last decade. They have wide applications in machine learning, data analysis, ...