IEEE

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

Abstract: Multi-access Edge Computing (MEC) can be implemented together with Open Radio Access Network (O-RAN) to offer low-cost deployment and bring services closer to end-users. In this paper, the ...

Understanding Prior Probability in Bayesian Statistics

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
India Today

IITs are offering 11 free data science and analytics courses. Join by Jan 26

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
IEEE

Bayesian Optimization based Support Vector Machine for the Early Warming of Enterprise Financial Risk Analysis

Abstract: With respect to enhance the capability of the enterprises to perform with financial risks, introduce the inclusive enterprise financial risk estimation index system. The financial risks of ...