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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 11Source ↗Scholar ↗
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 0Source ↗Scholar ↗