Index Catalog // Arch : Northwestern University Institutional Repository

Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Description:: The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...
Keyword:: Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,
Subject:: Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning
Creator:: Ezana N. Beyenne
Owner:: Ezana Negga Beyenne
Publisher:: Data Science Masters Theses
Date Uploaded:: 03/15/2023
Date Modified:: 03/15/2023
Resource Type:: Dissertation and Masters Thesis

An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics

Description:: Cite this article: Shen, J., McFarland, A.G., Blaustein, R.A. et al. An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics. Microbiome 10, 206 (2022). https://doi.org/10.1186/s40168-022-01412-x and Background: Effective surveillance of microbial communities in the healthcare environment is increasingly important in infection prevention. Metagenomics-based techniques are promising due to their untargeted nature but are currently challenged by several limitations: (1) they are not powerful enough to extract valid signals out of the background noise for low-biomass samples,...
Keyword:: Quantification, Quantitative metagenomics, Low biomass, Viability, Machine learning, Environmental surveillance, Sequencing depth prediction, and Infection prevention
Subject:: Metagenomics, Quantitative research, Nosocomial infections--Prevention, Machine learning, and Environmental monitoring
Creator:: K. Allison Perry-Dow, Jiaxian Shen, Vincent B. Young, Ryan A. Blaustein, Mary K. Hayden, Alexander G. McFarland, Anahid A. Moghadam, Laura J. Rose, and Erica M. Hartmann
Contributor:: Centers for Disease Control and Prevention (funding agency)
Owner:: Jiaxian SHEN
Publisher:: Microbiome
Language:: English
Date Uploaded:: 12/19/2022
Date Modified:: 12/19/2022
Date Created:: 2022-12-02
Resource Type:: Research Paper
Alternate Identifier:: DOI 10.1186/s40168-022-01412-x, PMCID PMC9716758, and PMID 36457108

Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

Description:: Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...
Keyword:: Intelligent Systems, Reinforcement Learning, Quadcopters, Learning and Adaptive Systemsons, Aerial Systems: Mechanics and Control, Proximal Policy Optimization, Drones, and Attitude Control
Subject:: Space vehicles--Attitude control systems, Proximal Policy Optimization, Reinforcement learning, Policy Gradient, Drone aircraft, and Machine learning
Creator:: Stephen Kleppinger,
Contributor:: Bharadwaj, Shreenidhi (advisor)
Owner:: Stephen Michael Kleppinger
Publisher:: Northwestern University
Language:: English
Date Uploaded:: 04/05/2022
Date Modified:: 04/05/2022
Date Created:: 12-2021
Resource Type:: Masters Thesis

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Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics

Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

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