Search Results for author:
Found 3 papers, 0 papers with code
Delta divergence: A novel decision cognizant measure of classifier incongruence
In this paper, we postulate the properties that a divergence measure should satisfy and propose a novel divergence measure, referred to as Delta divergence.
Deep Convolutional Neural Network Ensembles using ECOC
Deep neural networks have enhanced the performance of decision making systems in many applications including image understanding, and further gains can be achieved by constructing ensembles.
A unifying approach on bias and variance analysis for classification
Standard bias and variance (B&V) terminologies were originally defined for the regression setting and their extensions to classification have led to several different models / definitions in the literature.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
