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Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"
In this rejoinder we summarize the comments, questions and remarks on th...
05/01/2020 ∙ by Aliaksandr Hubin, et al. ∙
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Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Named Entity Recognition (NER) performance often degrades rapidly when a...
04/30/2020 ∙ by Pierre Lison, et al. ∙
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A Bayesian binomial regression model with latent Gaussian processes for modelling DNA methylation
Epigenetic observations are represented by the total number of reads fro...
04/28/2020 ∙ by Aliaksandr Hubin, et al. ∙
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Flexible Bayesian Nonlinear Model Configuration
Regression models are used in a wide range of applications providing a p...
03/05/2020 ∙ by Aliaksandr Hubin, et al. ∙
73
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An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models
Non-homogeneous hidden Markov models (NHHMM) are a subclass of dependent...
12/20/2019 ∙ by Aliaksandr Hubin, et al. ∙
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Combining Model and Parameter Uncertainty in Bayesian Neural Networks
Bayesian neural networks (BNNs) have recently regained a significant amo...
03/18/2019 ∙ by Aliaksandr Hubin, et al. ∙
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Deep Bayesian regression models
Regression models are used for inference and prediction in a wide range ...
06/06/2018 ∙ by Aliaksandr Hubin, et al. ∙
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