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33 Results:SS:LEARNING PP:UNIVERSITY OF MICHIGAN 0.203 sec.
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1
A Comprehensive Computational Model of PRIMs Theory for Task-Independent Procedural Learning
A Comprehensive Computational Model of PRIMs Theory for Task-Independent Procedural Learning
Stearns, Bryan. | University of Michigan | 2021
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2
A Risk Analysis and Data Driven Approach to Combating Sex Trafficking
A Risk Analysis and Data Driven Approach to Combating Sex Trafficking
Coxen, Julia. | University of Michigan | 2021
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3
Advancement of Molecular Mechanics Based Drug Discovery Through the Use of Machine Learning
Advancement of Molecular Mechanics Based Drug Discovery Through the Use of Machine Learning
Jones, Murchtricia K. | University of Michigan | 2021
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4
Affecting Fundamental Transformation in Future Construction Work Through Replication of the Master-Apprentice Learning Model in Human-Robot Worker Teams
Affecting Fundamental Transformation in Future Construction Work Through Replication of the Master-Apprentice Learning Model in Human-Robot Worker Teams
Liang, Ci-Jyun. | University of Michigan | 2021
Naver
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5
Anarchist Mathematics Education: Ethic, Motivation, and Praxis
Anarchist Mathematics Education: Ethic, Motivation, and Praxis
Bowers, David. | Michigan State University | 2021
Naver
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6
Asymmetrical Learning of Win and Loss Associations: Individual Differences and Task Effects
Asymmetrical Learning of Win and Loss Associations: Individual Differences and Task Effects
Cabrera-Haro, Lilian Edith. | University of Michigan | 2021
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7
Cardiac Arrhythmia Monitoring and Severe Event Prediction System
Cardiac Arrhythmia Monitoring and Severe Event Prediction System
Li, Zhi. | University of Michigan | 2021
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8
CS1 and Gender: Understanding Effects of Background and Self-Efficacy on Achievement and Interest
CS1 and Gender: Understanding Effects of Background and Self-Efficacy on Achievement and Interest
Sands, Philip. | Michigan State University | 2021
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9
Data-Driven Decision Making in Healthcare
Data-Driven Decision Making in Healthcare
Marrero, Wesley J. | University of Michigan | 2020
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10
Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning
Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning
Bower, Amanda. | University of Michigan | 2020
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