Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...

Abstract: Meta-learning aims to leverage prior knowledge from related tasks to enable a base learner to quickly adapt to new tasks with limited labeled samples. However, traditional meta-learning ...

When message symbols have unequal probabilities, the cost of transmission can be compressed to a precise mathematical limit. This video reveals how Huffman's bottom-up tree construction achieves ...

This repository contains the implementation of: "ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation". src/xac/experiments/conf/shapleig_crv_tabpfn_8p ...