1 code implementation • 2 Jun 2021 • Pritam Anand, Reshma Rastogi, Suresh Chandra
The existing Pin-SVM model requires to solve the same optimization problem for all values of $\tau$ in $[ -1, 1]$.
no code implementations • 9 Feb 2021 • Pritam Anand
In this paper, we have considered general k-piece-wise linear convex loss functions in SVM model for measuring the empirical risk.
no code implementations • 21 Oct 2019 • Pritam Anand, Reshma Rastogi, Suresh Chandra
The proposed $\nu$-SVQR model uses the $\nu$ fraction of training data points for the estimation of the quantiles.
no code implementations • 19 Aug 2019 • Pritam Anand, Reshma Rastogi, Suresh Chandra
In this paper, we propose a novel asymmetric $\epsilon$-insensitive pinball loss function for quantile estimation.
no code implementations • 28 Apr 2019 • Pritam Anand, Reshma Rastogi, Suresh Chandra
In this paper, we introduce a novel combined reward cum penalty loss function to handle the regression problem.