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 87 for “"Efficient Learning"”.
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Efficient learning machines
… capabilities and matters. The field of Machine Learning itself is shaped by the ever-increasing amount of data and computing power, creating new challenges as well as paving the way for new opportunities. This thesis is on adapting learning-based machines to these emerging prospects. In …
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Sample-efficient learning with self-supervision
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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On efficient learning algorithms for neural networks.
Inductive Inference Learning can be described in terms of finding a good approximation to some unknown classification rule f, based on a pre-classified set of training examples $\langle$x,f(x)$\rangle.$ One particular class of learning systems that has attracted much attention recently is the class …
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Improving STEM Undergraduate Education with Efficient Learning Design
The project investigates the potential of Learning Design for efficiently improving STEM undergraduate education with technology. In order to investigate this potential, the project consists of two main studies at Aarhus University: a study of the perspectives of the main stakeholders on Learning …
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Efficient learning and planning using spatial side information
… investigates the following question: how to efficiently integrate side information, available either a priori or online, with existing algorithms for learning and planning in environments with stochastic features? Side information in this context refers to any information that does not …
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Efficient Learning in Team Games: A coordination-competition dilemma
L'abstract è presente nell'allegato / the abstract is in the attachment
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Efficient Learning and Inference for High-dimensional Lagrangian Systems
Learning the nature of a physical system is a problem that presents many challenges and opportunities owing to the unique structure associated with such systems. Many physical systems of practical interest in engineering are high-dimensional, which prohibits the application of standard learning …
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Efficient learning of temporal dynamics with first-order methods
… we design algorithms for such models that enable efficient learning on large datasets. We address several key challenges that rise from real-world applications on learning structured temporal dynamics in the following aspects: • how to enable efficient nonparametric learning for large datasets? • …
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Data-Efficient Learning in Image Synthesis and Instance Segmentation
Modern deep learning methods have achieve remarkable performance on a variety of computer vision tasks, but frequently require large, well-balanced training datasets to achieve high-quality results. Data-efficient performance is critical for downstream tasks such as automated driving or facial …
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Efficient Learning: An Analysis of Stimulus Presentation on Fluent Performance
The demand for effective and efficient instruction in education is clear; research at the experimental level is needed in order to extend a behavior analytic understanding of the process of learning. The purpose of the current study is to extend the understanding of learning by manipulating the …
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Towards Label-Efficient Learning: Exploiting Limited Labels and Abundant Unlabeled Data
Efficiently exploiting limited labels alongside abundant unlabeled data is critical for advancing the capabilities of language models and their downstream systems. This thesis first presents novel methodologies for label-efficient learning, introducing three frameworks: (1) JointMatch, which …
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Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games
We propose efficient no-regret learning dynamics and ellipsoid-based methods for computing linear correlated equilibria—a relaxation of correlated equilibria and a strengthening of coarse correlated equilibria—in general convex games. These are games where the number of pure strategies is …
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Data-Efficient Learning Frameworks for Adaptive Intelligent Robots in Human-Robot Collaboration Scenarios
L'abstract è presente nell'allegato / the abstract is in the attachment
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Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction
Learning control will enable the deployment of autonomous robots in unstructured real-world settings. Solving the associated complex decision processes under real-time constraints will require intuition, guiding current actions by prior experience to anticipate long-horizon environment interactions …
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Uncovering Efficient Learning and Initialisation Algorithms for Neural Networks Using Evolutionary Algorithms and Theoretical Analyses
… are one of the most widely used form of machine learning algorithms. Over the years numerous types of ANN have been developed and applied to many domains. However, there are still important problems to overcome including their slow learning and the inability of certain types of deep ANNs to …
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Data-efficient learning for manipulation, locomotion, and information gathering involving granular media and deformable objects
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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EFFICIENT LEARNING-BASED RECOMMENDATION ALGORITHMS FOR TOP-N TASKS AND TOP-N WORKERS IN LARGE-SCALE CROWDSOURCING SYSTEMS
A pressing need for efficient personalized recommendations has emerged in crowdsourcing systems. On the one hand, workers confront a flood of tasks, and they often spend too much time to find tasks matching their skills and interests. Thus, workers want effective recommendation of the most suitable …
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Bayesian Learning for Data-Efficient Control
… to finance, to industrial processing, autonomous learning helps obviate a heavy reliance on experts for system identification and controller design. Often real world systems are nonlinear, stochastic, and expensive to operate (e.g. slow, energy intensive, prone to wear and tear). Ideally …
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Bridging the Gap in Software Engineering Education: Analyzing Learning Behaviors, Challenges, and Resource Effectiveness in Full-Stack Development
… regarding the time investment required for learning them and the effectiveness of various learning resources. This study aims to bridge this gap by investigating the most commonly used full-stack development tools, quantifying the time developers dedicate to mastering these tools, and …
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USE OF POPE ENGAGEMENT INDEX TO MEASURE COGNITIVE LOAD OF PHYSICAL MODELING ACTIVITIES IN ORGANIC CHEMISTRY
… modeling activities that facilitate student learning by decreasing cognitive load in the working memory. Optimizing cognitive load during physical modeling activities in organic chemistry is the key to effective and efficient learning. Using EEG (electroencephalogram) and eye tracking …
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