1 citations · 1 across the 1 of their papers we have counts for
4 papers
Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning
Gargi Roy, Dalia Chakrabarty
We introduce parametrisation of that property of the available training dataset, that necessitates an inhomogeneous correlation structure for the function that is learnt as a model…
Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs
Chuqiao Zhang, Sarath Chandra Dantu, Debarghya Mitra +1
Identification of critical residues of a protein is actively pursued, since such residues are essential for protein function. We present three ways of recognising critical residues…
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures
Gargi Roy, Dalia Chakrabarty
We present a new strategy for learning the functional relation between a pair of variables, while addressing inhomogeneities in the correlation structure of the available data, by…
Bayesian Density Estimation via Multiple Sequential Inversions of 2-D Images with Application in Electron Microscopy
Dalia Chakrabarty, Fabio Rigat, Nare Gabrielyan +2
We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Micros…