My goal is to formulate the learning and generalization phases of any Boosting algorithm as a matrix-vector operation.
Through Google, I found a good pdf (*) describing several boosting algorithms but the author Marco Cusumano-Towner only hints and doesn't explain how to recast the boosting algorithms (GradientBoost, Adaboost, QuadBoost) using matrix operations.
My question is:
Can I formulate a boosting algorithm as a regression, a game or a linear programming and arrive at closed-form solution which uses only matrix operations?