67 citations · 252 across the 25 of their papers we have counts for
4 papers · 1 filter
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
Shounak Datta, Sayak Nag, Sankha Subhra Mullick +1
The diversification (generating slightly varying separating discriminators) of Support Vector Machines (SVMs) for boosting has proven to be a challenge due to the strong learning n…
Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation
Ananda G. Maity, Shounak Datta, A. S. Majumdar
We consider the uncertainty bound on the sum of variances of two incompatible observables in order to derive a corresponding steering inequality. Our steering criterion when applie…
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning
Shounak Datta, Sayak Nag, Swagatam Das
A large amount of research effort has been dedicated to adapting boosting for imbalanced classification. However, boosting methods are yet to be satisfactorily immune to class imba…
Cost of Einstein-Podolsky-Rosen steering in the context of extremal boxes
Debarshi Das, Shounak Datta, C. Jebaratnam +1
Einstein-Podolsky-Rosen steering is a form of quantum nonlocality which is weaker than Bell nonlocality, but stronger than entanglement. Here we present a method to check Einstein-…