Learning multiple sclerosis immunopathogenesis from anti-CD20 therapy
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2221544120
Abstract: Multiple sclerosis (MS) is an inflammatory neurodegener - ative disorder with putative autoimmune origin. The dis - ease starts earlier than current diagnostic criteria can detect and affects the entire central nervous system read more here.
Keywords: anti cd20; learning multiple; sclerosis; sclerosis immunopathogenesis ... See more keywords
Hierarchical reinforcement learning of multiple grasping strategies with human instructions
Sign Up to like & getrecommendations! Published in 2018 at "Advanced Robotics"
DOI: 10.1080/01691864.2018.1509018
Abstract: ABSTRACT Grasping is an essential component for robotic manipulation and has been investigated for decades. Prior work on grasping often assumes that a sufficient amount of training data is available for learning and planning robotic… read more here.
Keywords: grasp; reinforcement learning; multiple grasping; hierarchical reinforcement ... See more keywords
Experimental Simultaneous Learning of Multiple Nonclassical Correlations.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review letters"
DOI: 10.1103/physrevlett.123.190401
Abstract: Nonclassical correlations can be regarded as resources for quantum information processing. However, the classification problem of nonclassical correlations for quantum states remains a challenge, even for finite-size systems. Although there exists a set of criteria… read more here.
Keywords: nonclassical correlations; learning multiple; simultaneous learning; machine ... See more keywords
Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2023.3243845
Abstract: Recent years have experienced phenomenal growth in computer-aided diagnosis systems based on machine learning algorithms for anomaly detection tasks in the medical image domain. However, the performance of these algorithms greatly depends on the quality… read more here.
Keywords: multiple expert; learning multiple; medical image; detection ... See more keywords
Temporal Logic Guided Meta Q-Learning of Multiple Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3185384
Abstract: Reinforcement learning (RL) based approaches have enabled robots to perform various tasks. However, most existing RL algorithms focus on learning a particular task, without considering generalization to new tasks. To address this issue, by combining… read more here.
Keywords: multiple tasks; meta learning; learning multiple; logic guided ... See more keywords
Deep Learning From Multiple Noisy Annotators as A Union.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3168696
Abstract: Crowdsourcing is a popular solution for large-scale data annotations. So far, various end-to-end deep learning methods have been proposed to improve the practical performance of learning from crowds. Despite their practical effectiveness, most of them… read more here.
Keywords: annotators union; learning multiple; multiple noisy; deep learning ... See more keywords
Statistical learning of multiple speech streams: A challenge for monolingual infants.
Sign Up to like & getrecommendations! Published in 2019 at "Developmental science"
DOI: 10.1111/desc.12896
Abstract: Language acquisition depends on the ability to detect and track the distributional properties of speech. Successful acquisition also necessitates detecting changes in those properties, which can occur when the learner encounters different speakers, topics, dialects,… read more here.
Keywords: multiple speech; speech; statistical learning; speech streams ... See more keywords
Learning From Multiple Representations: Prior Knowledge Moderates the Beneficial Effects of Signals and Abstract Graphics
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2020.601125
Abstract: Multimedia learning research addresses the question of how to design instructional material effectively. Signaling and adding graphics are typical instructional means that might support constructing a mental model, particularly when learning abstract content from multiple… read more here.
Keywords: prior knowledge; multiple representations; graphics learning; levels prior ... See more keywords
Teaching and Learning Multiple Varieties of a Foreign Language for Sustainable Multilingual Education
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su13148004
Abstract: In multilingual education for sustainable personal development, compared with that of multiple languages, the teaching and learning of multiple varieties of a language has been underexplored as a special and important form of multilingualism. In… read more here.
Keywords: learning multiple; teaching learning; multilingual education; language ... See more keywords