Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Data-driven learning"”.
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Does data-driven learning lead to better academic writing?
… seen an increase in the interest in the use of data-driven learning approaches. Most of these have focused on the acquisition of vocabulary items, including a wide range of information necessary for their correct usage. One type of vocabulary that has been investigated has been that used mostly …
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Data-Driven Learning Models with Applications to Retail Operations
<p>Data-driven approaches to decision-making under uncertainty is at the center of many operational problems. These are problems in which there is an element of uncertainty (e.g., customer demand) that needs to be estimated (learned) from data (e.g., customer transaction data) in order to make …
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Teaching Academic Vocabulary with Corpora: Student Perceptions of Data-Driven Learning
Indiana University-Purdue University Indianapolis (IUPUI)
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Data driven learning for feature binding and perceptual grouping with the Competitive Layer Model
… by pairwise interactions between elementary data structures in a recurrent neural network architecture, the so called Competitive Layer Model (CLM). The main result of the work is the development of an automatic learning method which extracts suitable interaction patterns from exemplary …
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Applications of Data-Driven Learning Models in Fluid Mechanics: Solid-Fluid Multiphase Systems and Bat Flight
… topics within this domain: (1) deep learning-based drag force modeling for particulate suspensions, (2) reduced-order modeling (ROM) for flow predictions in randomly arranged solid arrays, and (3) data-driven analysis of bat flight kinematics. First, we address the challenge of …
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A computer-aided error analysis of Saudi students’ written English and an evaluation of the efficacy of using the data- driven learning approach to teach collocations and lexical phrases
… in general learn better under the DDL treatment. Learning gains as a result of the DDL instructional condition in short-term delayed posttests were not significantly better than the dictionary-based instructional condition in the case of collocations, but they were significantly higher for the …
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CONCORDANCE-BASED FEEDBACK FOR L2 WRITING IN AN ONLINE ENVIRONMENT
Data-driven learning is a sub-discipline of corpus linguistics that makes use of the analyses and tools of corpus linguistics in foreign and second language classroom (Johns, 1991; Johns & King, 1991). With this approach, learners become researchers rather than passive recipients of language rules …
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Methodology for innovative health monitoring of aerospace structures using dynamic response measurements and advanced signal processing techniques
… will use the collected dynamic response data and will analyze them through a statistical data-driven learning model, i.e. an artificial neural network, coupled with wavelet multi-resolution analysis. This methodology will be the core of the SHM system. Structural damage will be initially …
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Learnersourcing : improving learning with collective learner activity
… video interfaces are not designed to support learning, with limited interactivity and lack of information about learners' engagement and content. Making these improvements requires deep semantic information about video that even state-of-the-art AI techniques cannot fully extract. I take a …
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Advancing mixed-integer programming using data-driven and deduction-based methods
… and cutting planes. First, we present two data-driven learning frameworks, offline and online, that aim to optimize the use of heuristics by learning from data describing their behavior. These approaches are able to improve performance of an state-of-the-art open-source MIP solver on a …
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Using corpora to aid in learning collocations
The potential of corpora, language databases comprised of authentic language materials from a variety of sources, has gradually trickled down to ESL and EFL classrooms (McCarthy, O'Keeffe, & Walsh, 2010) and has been associated with data-driven learning (DDL) where learners observe language …
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Data-Driven Localization and Structure Learning in Reverberant Underwater Acoustic Environments
… and tracking of a mobile emitter, and the joint learning of its reverberant 3D environment, are important yet challenging tasks in the shallow-water underwater acoustic setting. A typical application is the monitoring of submarines or other man-made emitters with a small, surreptitiously-deployed …
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Neural Network-based Methodologies for Securing Cryptographic Code
… languages and programming languages, which pure data-driven learning approaches may not recognize.
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Physics-Informed Neural Networks (PINNS) and Inverse PINNS for the Modeling and Parameter Estimation of Electric Pumps in Liquid-Propellant Rocket Engines
<p>This thesis presents a machine learning (ML) based approach to both model and estimate the parameters of an electric pump system that is used in liquid-propellent rocket engines. This is accomplished by utilizing Physics-Informed Neural Networks (PINNs) and inverse Physics-Informed Neural …
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Nonparametric sparse learning of dynamical systems
… we develop a nonparametric approach to learning the system dynamics via transfer operators in reproducing kernel Hilbert spaces (RKHS). Compared with methods using fixed parametric structures, the proposed nonparametric representation does not require manually engineered features, and …
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A corpus-based study of academic-collocation use and patterns in postgraduate Computer Science students’ writing
… some noun collocations. Using the corpus-based Data Driven Learning (DDL)approach (Johns,1991), three types of awareness-raising activities were developed: noticing collocation, noticing and identifying different patterns of the same collocation, and comparing and contrasting patterns between …
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Data-driven X-ray Tomographic Imaging and Applications to 4D Material Characterization
… internal structures with externally measured data by X-ray radiation non-destructively. However, there are concerns about X-ray radiation damage and tomographic acquisition speed in real-life applications. Strategies with insufficient measurements, such as measurements with insufficient dosage …
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Water Quality Control in Distribution Systems: Bayesian Optimization & Physics-Informed Machine Learning
… for designing advanced physics-informed machine learning (PI-ML) models for WQ prediction, and implementing the Bayesian optimization (BO) technique for optimizing the WQ in WDSs. The first thrust of this dissertation introduces a novel BO-based framework for optimizing chlorine booster …
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Adaptive sparse representations and their applications
… used in compression standards. Recently, the data-driven learning of synthesis sparsifying dictionaries has become popular especially in applications such as denoising, inpainting, and compressed sensing. While there has been extensive research on learning synthesis dictionaries and some …