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.
Results
Showing 1 to 20 of 21 for “"sequential learning"”.
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Sequential learning, large-scale calibration, and uncertainty quantification
… chapters, exploring statistical methodologies in sequential learning, model calibration, and uncertainty quantification for heteroskedastic computer experiments and large-scale computer experiments. For heteroskedastic computer experiments, an optimal lookahead based sequential learning strategy …
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On the effect of dynamic adjustment of recurrent network parameters on learning
The thesis examines sequential learning in a neural network model derived by M. I. Jordan and J. L. Elman. In each of three experiments, different network parameters are systematically altered in a series of simulations. Each simulation measures learning ability for a specific network …
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Learning style preferences of female undergraduate students in the U.S. and possible associations with selected ‘hard’ vs. ‘soft’ academic majors
… demotivation and dissatisfaction can occur when learning style preferences and teaching methods are misaligned. Taking student learning styles into consideration as an instructor is therefore important. While many learning style preference studies have been conducted globally, female …
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An art history curriculum guide for seventh and eighth grades
… production. The lessons represented structured, sequential learning as required by DBAE philosophy. The lessons were written according to the junior high level of needs and interests.
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Parametric cost estimation utilizing development-to-production cost relationship applied to the advanced amphibious assault vehicle
… cost. The data is examined for both disjoint and sequential learning curve theories. The resulting cost estimating relationships (CERs) for each model are explained in terms of how the respective model measure development unit cost and production unit cost. The final CERs provide insight into …
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The Effect of Age-Related Stereotypes on Memory Self-Efficacy and Memory Task-Performance of Older Adults
… and two measures of implicit and explicit sequential learning. Structural equation modeling was used to analyze the relationships among stereotypes of age, memory self-efficacy, and subsequent performance on various tasks of memory and learning. Emphasis was placed on the memory …
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Towards a Prime Factorization of Proteins
A classical problem of machine learning is the interpretability of a model’s latent information processing. This is particularly the case in the richly complex field of protein analysis, whereby unique and novel insights into the structural organization of proteins can help illuminate their …
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Data-Driven Research On Engineering Design Thinking And Behaviors In Computer-Aided Systems Design: Analysis, Modeling, And Prediction
… and prediction of design thinking and designers’ sequential decision-making behaviors.</p> <p>In the modeling work, different design behaviors, including design action preferences, one step sequential decision behavior, contextual behavior, long short-term memory behavior, and reflective thinking …
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Sequential mastery detection and Bayesian learning promotion under cognitive diagnosis models
E-learning assessments are becoming a common educational medium to instruct fine-grained skills in modern pedagogy. To accentuate the advantages of e-learning assessments, it is vital to automate the process of instruction and advancement in accordance with the learning progress of each individual. …
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Addressing misspecification in contextual optimization
… framework approach, which combines machine learning and a downstream optimization task. This approach entails forecasting unknown parameters of an optimization problem and then resolving the optimization task based on these predictions. For example, consider an energy allocation problem when …
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An Investigation of the Preferential Learning Strategies, Modality Preferences, and Academic Performance among Eighth-Grade Students
… differences among students' preferential learning styles and their academic achievement. The hypothesis was tested for the total sample population and the subgroups of: gender and ethnicity (Anglo, Hispanic, Asian). Two self-reporting assessment instruments were administered to 200 eighth …
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Dancing and the aging brain: the effects of a 4-month ballroom dance intervention on the cognition of healthy older adults
… spatial processing, speed of processing, sequential learning, and reasoning), a test of cardiorespiratory fitness, two tests used to evaluate balance control, and scales assessing anxiety, psychological well-being, perceived stress, and sleep quality. Results indicated that the dance and …
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Transform learning based image and video processing
… for which sparse coding is cheap and exact, and learning, or data-driven adaptation admits computationally efficient solutions. In this thesis, we present two extensions to the transform learning framework, and some applications. In the first part of this thesis, we propose a union of sparsifying …
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The neurocognitive mechanisms of perceptual inference in autism
… from a visuomotor probabilistic reversal learning task used to examine how adults with varying levels of autistic traits evaluate sensory information, build, and update sensory expectations. A positive relationship was found between autistic traits and the learning of probable sequences …
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A Novel Adaptation Model for E-Learning Recommender Systems Based on Student’s Learning Style
… increase has been witnessed in the use of online learning resources by learn- ers. However, owing to an information overload, many find it difficult to retrieve appropriate learning resources for meeting learning requirements. Most of the existing systems for e-learning make use of a …
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NON-STATIONARY MULTIARMED BANDITS FOR SATIATION AND SEASONALITY PHENOMENA IN MUSIC RECOMMENDER SYSTEMS
… Our goal is to study these phenomena in a sequential learning setting characterized by partial feedback, adopting multiarmed bandits as the approach to tackle this problem. We first introduce a novel model with finitely many arms, which handles contrasting phenomena like satiation and …
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Distributed Wireless Resource Management in the Internet of Things
… a comprehensive overview on the use of various learning techniques for wireless resource management in an IoT is provided, and potential applications for each learning framework are proposed. Moreover, to capture the heterogeneity among IoT devices, a framework based on cognitive hierarchy …
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Consumer decision-making styles among generation Y consumers in Namiba
… between their decision-making styles and their learning styles, culture and e-literacy. Data were obtained by administering Sproles and Kendal’s Consumer Style Inventory (CSI), Felder & Silverman Index of Learning Style (ILS), Hofstede Cultural Dimensions, demographic and e-literacy …
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Semi-Supervised Learning for Scalable and Robust Visual Search
… of approaches: graph-based semi-supervised learning and hashing techniques. The graph-based approaches are used to improve accuracy, while hashing approaches are used to improve efficiency and cope with large-scale applications. A common theme shared between these two subareas of our work is …
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Data-driven materials design
… combines quantum mechanical modeling and machine learning is demonstrated as a technique for the accelerated discovery of spinel compounds. In the space of digital data, I introduce a platform to collect, analyze and learn from graphene synthesis data collected from the research community. For …
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