The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold th...
H. M. Aktulga, I. Kontoyiannis, L. A. Lyznik, Luka...