4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
On multivariate randomized classification trees: -based sparsity, VC~dimension and decomposition methods
Edoardo Amaldi, Antonio Consolo, Andrea Manno
Decision trees are widely-used classification and regression models because of their interpretability and good accuracy. Classical methods such as CART are based on greedy approach…
math.OC2015★ 4 cited
A Class of Parallel Decomposition Algorithms for SVMs Training
Andrea Manno, Laura Palagi, Simone Sagratella
The training of Support Vector Machines may be a very difficult task when dealing with very large datasets. The memory requirement and the time consumption of the SVMs algorithms g…