1. Brunel University Research Archive

Browsing by Author Chakrabarty, D

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Issue DateTitleAuthor(s)
19-Oct-2023Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scoreChakrabarty, D; Wang, K; Roy, G; Bhojgaria, A; Zhang, C; Pavlu, J; Chakrabartty, J
6-Nov-2018Correlation between Multivariate Datasets, from Inter-Graph Distance computed using Graphical Models Learnt With UncertaintiesWang, K; Chakrabarty, D
16-Apr-2018Deep Bayesian Supervised Learning given Hypercuboidally-shaped, Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate Gaussian ProcessesWang, K; Chakrabarty, D
2023Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMCRoy, G; Chakrabarty, D
1-Feb-2014Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic DataChakrabarty, D; Saha, P
2019Learning in the absence of training data—A galactic applicationSpire, C; Chakrabarty, D
7-Oct-2016A New Bayesian Test to Test for the Intractability-Countering HypothesisChakrabarty, D
19-Mar-2024Reliable uncertainties of tests and surveys – a data-driven approachChakrabartty, SN; Wang, K; Chakrabarty, D
2020Soft Random Graphs in Probabilistic Metric Spaces & Inter-graph DistanceWang, K; Chakrabarty, D
11-Mar-2015Uncertainty in Test Score Data and Classically Defined Reliability of Tests and Test Batteries, using a New Method for Test DichotomisationChakrabarty, SN; Wang, K; Chakrabarty, D
Showing results 4 to 13 of 13 < previous