Results 21 to 30 of about 1,780,354 (311)
Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing
Engineering, 2023 In recent years, data has become one of the most important resources in the digital economy. Unlike traditional resources, the digital nature of data makes it difficult to value and contract.
Jimin Xu +13 more
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Data driven semi-supervised learning
, 2021 We consider a novel data driven approach for designing learning algorithms that can effectively learn with only a small number of labeled examples. This is crucial for modern machine learning applications where labels are scarce or expensive to obtain.
Maria-Florina Balcan, Dravyansh Sharma
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IEEE Access, 2021 This paper deals with the problem of signal source traversal based on a quadrotor in an environments with obstacles by proposing a data-driven receding horizon control approach.
Chen Hu, Ke Yin, Qiang Lu
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Data-driven planning via imitation learning [PDF]
The International Journal of Robotics Research, 2018 Robot planning is the process of selecting a sequence of actions that optimize for a task=specific objective. For instance, the objective for a navigation task would be to find collision-free paths, whereas the objective for an exploration task would be to map unknown areas.
Sanjiban Choudhury +6 more
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Comparative Analyses of Data Driven Machine Learning Models for TADF Emitters
, 2023 Thermally activated delayed fluorescence (TADF) chromophores have attracted significant attention because they can harvest singlets and triplets in organic light-emitting diodes (OLEDs), resulting in high external quantum efficiency (EQE). This work aims
Bhattacharyya, K. +1 more
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Data-Driven Control: theory and applications [PDF]
, 2022 openLo scopo di questa tesi è studiare le tecniche di Data-Driven Control, in particolare viene studiato il problema di controllo attraverso il Data Driven Predictve Control.
OLIVIERO, ALESSANDRA
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Position Control of Cable-Driven Robotic Soft Arm Based on Deep Reinforcement Learning
Information, 2020 The cable-driven soft arm is mostly made of soft material; it is difficult to control because of the material characteristics, so the traditional robot arm modeling and control methods cannot be directly applied to the soft robot arm.
Qiuxuan Wu +8 more
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Reserved for Research? Normalising Corpus Use for School Teachers
Current Swedish Archaeology, 2023 There has been much discussion about the persistent gap between research and practice in the use of corpora in the classroom (Frankenberg-Garcia 2012; Chambers 2019 among others), despite strong evidence of its benefits (Boulton 2017).
Rachel Allan
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Research in data-driven learning
, 2021 Abstract Data-driven learning (DDL) typically involves language learners consulting corpus data, either directly or via prepared materials, to answer questions about language. The approach has been mooted since the beginning of the modern era of corpus linguistics and has come to be associated with work by Tim Johns who coined the term in print in 1990.
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Tiempo, aspecto y aprendizaje basado en datos: consideraciones para la enseñanza del pretérito perfecto compuesto en español [PDF]
marcoELE. Revista de Didáctica Español Lengua Extranjera, 2020 MONOGRAFÍA: ENSEÑANZA DE LA GRAMÁTICA EN ELE: RESULTADOS DE INVESTIGACIÓN Y NUEVAS PROPUESTAS Este artículo tiene por objeto reflexionar sobre los usos del pretérito perfecto compuesto en el ámbito de la enseñanza y aprendizaje del español, contexto ...
Soler Montes, Carlos
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