16 citations · 19 across the 4 of their papers we have counts for
4 papers
Model Selection in High-Dimensional Block-Sparse Linear Regression
Prakash B. Gohain, Magnus Jansson
Model selection is an indispensable part of data analysis dealing very frequently with fitting and prediction purposes. In this paper, we tackle the problem of model selection in a…
Neural Greedy Pursuit for Feature Selection
Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain +2
We propose a greedy algorithm to select important features among input features for a non-linear prediction problem. The features are selected one by one sequentially, in a…
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models
Prakash B. Gohain, Magnus Jansson
Model selection in linear regression models is a major challenge when dealing with high-dimensional data where the number of available measurements (sample size) is much smaller th…
Statistical model-based evaluation of neural networks
Sandipan Das, Prakash B. Gohain, Alireza M. Javid +2
Using a statistical model-based data generation, we develop an experimental setup for the evaluation of neural networks (NNs). The setup helps to benchmark a set of NNs vis-a-vis m…