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Karthikeyan Ramamurthy

2 accepted papers

2016

Empirically-estimable multi-class classification bounds

ICASSP 2016accepted

In this paper, we extend previously developed non-parametric bounds on the Bayes risk in binary classification problems to multi-class problems. In comparison with the well-known Bhattacharyya bound which is typically calculated by employing parametric assumptions, the bounds proposed in this paper…

Cited by 0SourceScholar
2015

Removing data with noisy responses in regression analysis

ICASSP 2015accepted

In regression analysis, outliers in the data can induce a bias in the learned function, resulting in larger errors. In this paper we derive an empirically estimable bound on the regression error based on a Euclidean minimum spanning tree generated from the data. Using this bound as motivation, we pr…

Cited by 0SourceScholar