Results 11 to 20 of about 31,155,536 (302)
Educazione Linguistica Language Education, 2019 Data-Driven Learning (DDL) is almost non-existent at the university level in Serbia when it comes to using DDL in foreign language teaching. Having analysed the curricula at a number of universities, we concluded that DDL is dealt with on a very small
Vitaz, Milica, Poletanović, Milica
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Data-Driven Learning of Nonautonomous Systems [PDF]
SIAM Journal on Scientific Computing, 2021 We present a numerical framework for recovering unknown nonautonomous dynamical systems with time-dependent inputs. To circumvent the difficulty presented by the nonautonomous nature of the system, our method transforms the solution state into piecewise integration of the system over a discrete set of time instances.
Tong Qin 0002 +3 more
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Translation and Data-Driven Learning
Data-driven learning (DDL) is particularly well suited to translator education, providing an adequate pedagogic approach for two related yet distinct learning objectives: the development of translation competence and the learning of foreign languages.
Silvia Bernardini +2 more
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Optimization for Data-Driven Learning and Control [PDF]
Proceedings of the IEEE, 2020 This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.
Usman A. Khan +4 more
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Is There 'ONE way' of Learning? A Data-driven Approach [PDF]
Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020 Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, in learning tasks that are exploratory by design, such as constructivist learning activities ...
Jauwairia Nasir +2 more
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Comparative Analyses of Data Driven Machine Learning Models for TADF Emitters [PDF]
, 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. +2 more
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Data-Driven Learning of Q-Matrix [PDF]
Applied Psychological Measurement, 2012 The recent surge of interests in cognitive assessment has led to developments of novel statistical models for diagnostic classification. Central to many such models is the well-known Q-matrix, which specifies the item–attribute relationships. This article proposes a data-driven approach to identification of the Q-matrix and estimation of related model ...
Jingchen, Liu +2 more
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Data-driven invariant learning for probabilistic programs
Formal Methods in System Design, 2022 AbstractMorgan and McIver’s weakest pre-expectation framework is one of the most well-established methods for deductive verification of probabilistic programs. Roughly, the idea is to generalize binary state assertions to real-valued expectations, which can measure expected values of probabilistic program quantities.
Jialu Bao +4 more
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Frontiers in Bioengineering and Biotechnology, 2023 Understanding recovery from TBI is complex, involving multiple systems and modalities. The current study applied modern data science tools to manage this complexity and harmonize large-scale data to understand relationships between gene expression and ...
J. Russell Huie +11 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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