IEEE

Efficient Exploration Through Bootstrapped and Bayesian Deep Q-Networks for Joint Power Control and Beamforming in mmWave Networks

Abstract: Efficient exploration is critical in deploying Deep Reinforcement Learning (DRL) for joint power control and beamforming in mmWave networks. This letter proposes Bootstrapped and Bayesian ...
GitHub

PROFIS: Design of target-focused libraries by probing continuous fingerprint space with recurrent neural networks

In order to retrain the latent classifier, you have to provide an appropriate dataset. Load your data into a pandas.DataFrame object. The dataframe must contain the following columns: 'smiles' - ...
IEEE

Bayesian Multiple Linear Regression and New Modeling Paradigm for Structural Deflection Robust to Data Time Lag and Abnormal Signal

Abstract: Long-span bridges are the lifeline throats of urban transportation network. Deflection (i.e., deformation) behavior of long-span bridges is complex. It can be found from long-term monitoring ...
National Bureau of Economic Research

Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...