no code implementations • 25 Dec 2023 • Sepehr Nourmohammadi, Shervin Rahimzadeh Arashloo
The vector-norm constraint enables the model to adapt to the intrinsic uniformity/sparsity of the ensemble in the space of base learners and acts as a (soft) classifier selection mechanism by shaping the relative magnitudes of fusion weights.