Results 31 to 40 of about 1,988,212 (277)
RANS Turbulence Model Development using CFD-Driven Machine Learning
, 2020 This paper presents a novel CFD-driven machine learning framework to develop Reynolds-averaged Navier-Stokes (RANS) models. The CFD-driven training is an extension of the gene expression programming method (Weatheritt and Sandberg, 2016), but crucially ...
Akolekar, Harshal D. +4 more
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Lidil, 2018 This paper describes two task-based experiments using corpora for ESP and EAP blended learning. Two different approaches have been experimented: exploiting corpora to teach ESP and teaching to exploit corpora for ESP learning.
Natalie Kübler, Clive E. Hamilton
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Data-driven Learning: Aiming at the Bigger Picture
Current Swedish Archaeology, 2023 There has been increasing interest in corpus-based teaching of rhetorical features in academic writing at the discourse level (Chen and Flowerdew 2018; Dong and Lu 2020; Moreno and Swales 2018).
Tatyana Karpenko-Seccombe
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Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning [PDF]
, 2018 Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic from an individual task perspective,
Casas Vilaró, Jordi +2 more
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Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization
, 2018 Data-driven algorithm design, that is, choosing the best algorithm for a specific application, is a crucial problem in modern data science. Practitioners often optimize over a parameterized algorithm family, tuning parameters based on problems from their
Balcan, Maria-Florina +2 more
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, 2020 Tight performance specifications in combination with operational constraints make model predictive control (MPC) the method of choice in various industries.
Wabersich, Kim P., Zeilinger, Melanie N.
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Learning unification-based grammars using the Spoken English Corpus
, 1994 This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven ...
Bridge, Derek, Osborne, Miles
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The primary and secondary effects of data-driven learning on high- and low-intermediate learners’ Knowledge of collocations [PDF]
Issues in Language Teaching, 2020 The present study scrutinized the role of data-driven learning in recognizing and producing collocations by high- and low-intermediate learners of English.
Afsaneh Saeedakhtar
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Differentiable Algorithm Networks for Composable Robot Learning
, 2019 This paper introduces the Differentiable Algorithm Network (DAN), a composable architecture for robot learning systems. A DAN is composed of neural network modules, each encoding a differentiable robot algorithm and an associated model; and it is trained
Hsu, David +5 more
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Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework
, 2017 Speech recognition systems for irregularly-spelled languages like English normally require hand-written pronunciations. In this paper, we describe a system for automatically obtaining pronunciations of words for which pronunciations are not available ...
Khudanpur, Sanjeev +3 more
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