Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors
Sign Up to like & getrecommendations! Published in 2017 at "Autonomous Robots"
DOI: 10.1007/s10514-015-9528-y
Abstract: We consider the problem of devising a unified control policy capable of regulating both the robot motion and its physical interaction with the environment. We formulate this control policy by a non-parametric potential function and… read more here.
Keywords: motion; human demonstrations; learning potential; control ... See more keywords
Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in human behavior"
DOI: 10.1016/j.chb.2021.106772
Abstract: Societal events - such as natural disasters, political shifts, or economic downturns - are time-varying and impact the learning potential of students in unique ways. These impacts are likely accentuated during the COVID-19 pandemic, which… read more here.
Keywords: longitudinal data; intensive longitudinal; individualized learning; learning potential ... See more keywords
A DFT accurate machine learning description of molten ZnCl2 and its mixtures: 1. Potential development and properties prediction of molten ZnCl2
Sign Up to like & getrecommendations! Published in 2020 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.109955
Abstract: Abstract Molten eutectic salts consisting of ZnCl2 and other alkali chlorides are promising thermal storage and heat transfer fluid materials in the next generation concentrated solar thermal power. To go deep into the thermal and… read more here.
Keywords: machine learning; learning potential; zncl2 mixtures; molten zncl2 ... See more keywords
Accelerating CALYPSO structure prediction by data-driven learning of a potential energy surface.
Sign Up to like & getrecommendations! Published in 2018 at "Faraday discussions"
DOI: 10.1039/c8fd00055g
Abstract: Ab initio structure prediction methods have been nowadays widely used as powerful tools for structure searches and materials discovery. However, they are generally restricted to small systems owing to the heavy computational cost of the… read more here.
Keywords: learning potential; structure searches; calypso structure; structure ... See more keywords
Machine learning potential era of zeolite simulation
Sign Up to like & getrecommendations! Published in 2022 at "Chemical Science"
DOI: 10.1039/d2sc01225a
Abstract: Zeolites, owing to their great variety and complexity in structure and wide applications in chemistry, have long been the hot topic in chemical research. This perspective first presents a short retrospect of theoretical investigations on… read more here.
Keywords: zeolite; machine learning; potential era; simulation ... See more keywords
Assessing learning potential in elderly stroke patients: The validity of the dynamic Clock Drawing Task in comparison with the dynamic Wisconsin Card Sorting Test.
Sign Up to like & getrecommendations! Published in 2023 at "Applied neuropsychology. Adult"
DOI: 10.1080/23279095.2023.2171794
Abstract: Currently, there is no valid and feasible dynamic test available for assessing learning potential in elderly stroke patients. We designed a dynamic version of the Clock Drawing Task (dCDT) which we compared to the dynamic… read more here.
Keywords: test; dwcst; stroke patients; elderly stroke ... See more keywords
Machine-learning potential of a single pendulum.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.105.054203
Abstract: Reservoir computing offers a great computational framework where a physical system can directly be used as computational substrate. Typically a "reservoir" is comprised of a large number of dynamical systems, and is consequently high dimensional.… read more here.
Keywords: system; machine learning; reservoir; single pendulum ... See more keywords
Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3176535
Abstract: Noncooperative game-theoretic methods have been widely utilized in system-level engineering applications as they are capable of aggregating interests, information, and behaviors of many independent, self-interested entities with conflicting objectives via payoffs. Another major advantage is… read more here.
Keywords: potential games; games electric; power; power grids ... See more keywords
Discovering Learning Potential in Secondary Education Using a Dynamic Screening Instrument
Sign Up to like & getrecommendations! Published in 2023 at "Education Sciences"
DOI: 10.3390/educsci13040365
Abstract: This study aimed to investigate the effectiveness of a newly developed dynamic screening instrument, using a learning phase with standardized prompts, to assess first year secondary school students’ potential for learning. This instrument aimed to… read more here.
Keywords: instrument; screening instrument; test; education ... See more keywords