Abstract: AdaBoost has been successfully used in many signal processing systems for data classification. It has been observed that on highly noisy data AdaBoost leads to overfitting. In this paper, a ...

Robust linear programming (RLP) is a form of linear programming that aims to find solutions that are feasible and optimal for a range of possible scenarios, rather than a single deterministic ...

Linear programming is algorithm design's trusty sidekick, making optimization problems a breeze. From resource allocation to complex decision-making, it's the Swiss army knife of efficiency.

Linear programming is a mathematical optimization technique used to find the optimal solution to a linear objective function subject to linear constraints. It is used in various real-world ...

We present two first-order primal-dual algorithms for solving saddle point formulations of linear programs, namely FWLP (Frank-Wolfe Linear Programming) and FWLP-P. The former iteratively applies the ...

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

Linear programming (LP) is a method to achieve the best outcome in a mathematical model whose requirements are represented by linear relationships. It is a special case of mathematical programming ...

Integer [Linear] Programming. Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously ...