Meta-learning owns unique effectiveness and swiftness in tackling emerging tasks with limited data. Its broad applicability is revealed by viewing it as a bi-level optimization problem. The resultant algorithmic viewpoint however, faces scalability issues when the inner-level relies on gradient-based iterations. Implicit differentiation has been considered to alleviate this challenge, but restr...

Decision trees have been well studied and widely used in knowledge discovery decision support systems. One of the applications binary integer programming to form or making is knapsack problem. The problem an that involves only one constraint. generally illustrated with a bag item. be solved maximize price goods certain capacity can loaded by too. In solving problem, it done directly. this paper...