3 citations · 5 across the 4 of their papers we have counts for
4 papers
Universal consistency of the -NN rule in metric spaces and Nagata dimension. II
Sushma Kumari, Vladimir G. Pestov
We continue to investigate the nearest neighbour (-NN) learning rule in complete separable metric spaces. Thanks to the results of Cérou and Guyader (2006) and Preiss (1983)…
Universal consistency of the -NN rule in metric spaces and Nagata dimension
Benoît Collins, Sushma Kumari, Vladimir G. Pestov
The nearest neighbour learning rule (under the uniform distance tie breaking) is universally consistent in every metric space that is sigma-finite dimensional in the sense…
Topics in Random Matrices and Statistical Machine Learning
Sushma Kumari
This thesis consists of two independent parts: random matrices, which form the first one-third of this thesis, and machine learning, which constitutes the remaining part. The main…
Moments of inverses of -Laguerre matrices
Sushma Kumari
Wishart matrices are one of the fundamental matrix models in multivariate statistics. We consider the classical -Laguerre ensemble and give a necessary and sufficient cond…