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Found 4 papers, 1 papers with code
Divide, Conquer, Combine Bayesian Decision Tree Sampling
A challenge for existing MCMC approaches is proposing joint changes in both the tree structure and the decision parameters that result in efficient sampling.
RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior
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
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
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
