IEEE

MPDA: A Massively Parallel Learning and Dependency-Aware Scheduling Algorithm for Data Processing Clusters

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
IEEE

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market

Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...
pulmonologyadvisor

Natural Language Processing Algorithms Can ID High-Risk Childhood Asthma Subgroup

The risks for pneumonia, influenza A/B, and asthma exacerbations were highest in the NLP-PAC+/NLP-API+ subgroup compared with the other groups. HealthDay News — Natural language processing (NLP) ...