We describe a learning procedure enhancing L1-penalized regression by adding dynamically generated rules describing multidimensional “box” sets.

We describe a procedure enhancing L1-penalized regression by adding dynamically generated rules describing multidimensional “box” sets.

We describe a procedure enhancing L1-penalized regression by adding dynamically generated rules describing multidimensional “box” sets.

Aug 6, 2017 · We describe a procedure enhancing L1-penalized regression by adding dynamically generated rules describing multidimensional "box" sets.

We describe a procedure enhancing Lx-penalized regression by adding dynamically generated rules describing multidimensional "box" sets.

Dive into the research topics of 'Rule-enhanced penalized regression by column generation using rectangular maximum agreement'. Together they form a unique ...

Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement. Jonathan Eckstein, Noam Goldberg, Ai Kagawa.

May 14, 2019 · ... Rule-enhanced penalized regression by column generation using rectangular maximum agreement. Proc. Machine Learn. Res. 70:1059–1067 ...

DescriptionA NP-hard rectangular maximum agreement (RMA) problem finds a “box” that best discriminates between two weighted datasets.

Dive into the research topics of 'Rule-enhanced penalized regression by column generation using rectangular maximum agreement'. Together they form a unique ...