Results 51 to 60 of about 636,159 (270)
ADAPT : Awesome Domain Adaptation Python Toolbox [PDF]
arXiv, 2021 In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods. The library is designed with a user friendly approach to facilitate the access to domain adaptation for a wide public.
arxiv
Adaptive Control with Approximated Policy Search Approach
ITB Journal of Engineering Science, 2010 Most of existing adaptive control schemes are designed to minimize error between plant state and goal state despite the fact that executing actions that are predicted to result in smaller errors only can mislead to non-goal states. We develop an adaptive
Agus Naba
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Editorial: Comparing Educational Modelling Languages on the "Planet Game" Case Study
Journal of Interactive Media in Education, 2008 A few eLearning research teams promoting a scenario-based approach have adopted the IMS-LD specification, At the same time, other teams have developed other notations, languages and meta-models related to IMS-LD, along with tools and methodologies for ...
Laurence Vignollet +2 more
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Learning to learn with active adaptive perception [PDF]
Neural Networks, 2019 Increasingly, autonomous agents will be required to operate on long-term missions. This will create a demand for general intelligence because feedback from a human operator may be sparse and delayed, and because not all behaviours can be prescribed. Deep neural networks and reinforcement learning methods can be applied in such environments but their ...
D.M. Bossens, N.C. Townsend, A.J. Sobey
openaire +4 more sources
arXiv, 2022 State-of-the-art pretrained NLP models contain a hundred million to trillion parameters. Adapters provide a parameter-efficient alternative for the full finetuning in which we can only finetune lightweight neural network layers on top of pretrained weights. Adapter layers are initialized randomly.
arxiv
Problems and Prospects for the Application of Neural Networks for the Sphere of Education
Открытое образование (Москва), 2022 The purpose of the study is to examine the theory and practice of using neural networks in education, to develop the concept of a neural network adaptive learning environment, and to implement a neural network model of one of the subsystems of this ...
T. M. Shamsutdinova
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Adaptive e-Learning and the Learning Grid [PDF]
Electronic Workshops in Computing, 2002 One important aim of LeGE-WG is the integration of new eLearning methodologies into Learning Grid technology. A central issue in these new eLearning methodologies is the concept of individualised and personalised learning to be realised by adaptive tutoring systems.
Hockemeyer, Cord, Albert, Dietrich
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Adaptive Soft Contrastive Learning
2022 26th International Conference on Pattern Recognition (ICPR), 2022 Accepted to ...
Chen Feng, Ioannis Patras
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Frontiers in Cell and Developmental BiologyIntroductionCiliopathies are a group of human Mendelian disorders caused by dysfunction of primary cilia, small quasi-ubiquitous sensory organelles. Patients suffering from ciliopathies often display prominent neurodevelopmental phenotypes, underscoring ...
Walther Haenseler +18 more
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Personalization in education: from programmed to adaptive learning [PDF]
Современная зарубежная психология, 2020 Adaptive learning is a learning service that adapts quickly and continuously to the individual characteristics of students. Our study is a literature review that includes a brief analysis of the history of development, the main modern approaches and ...
Kravchenko D.A. +4 more
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