Search Results for author: Sarah J. Johnson

Found 4 papers, 1 papers with code

Divide, Conquer, Combine Bayesian Decision Tree Sampling

no code implementations26 Mar 2024 Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson

A challenge for existing MCMC approaches is proposing joint changes in both the tree structure and the decision parameters that result in efficient sampling.

Bayesian Inference

RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior

no code implementations4 Dec 2023 Jodie A. Cochrane, Adrian G. Wills, Sarah J. Johnson

This paper is directed towards learning decision trees from data using a Bayesian approach, which is challenging due to the potentially enormous parameter space required to span all tree models.

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network

no code implementations14 Sep 2022 Saud Khan, Salman Durrani, Muhammad Basit Shahab, Sarah J. Johnson, Seyit Camtepe

We assume that IoT devices use complex spreading sequences and transmit information in a random-access manner following the burst-sparsity model, where some IoT devices transmit their data in multiple adjacent time slots with a high probability, while others transmit only once during a frame.

New Density Evolution Approximation for LDPC and Multi-Edge Type LDPC Codes

2 code implementations16 May 2016 Sachini Jayasooriya, Mahyar Shirvanimoghaddam, Lawrence Ong, Gottfried Lechner, Sarah J. Johnson

We observe that the assumption of symmetric Gaussian distribution for the density-evolution messages is not accurate in the early decoding iterations, particularly at low rates and with punctured variable nodes.

Information Theory Information Theory

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