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 9 of 9 for “"Large-scale Learning"”.
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Enhancing Online Collaborative Learning: Designs for Effective In-Situ Discussion and Engagement in Large-Scale Learning Environments
… innovative technology, enhancing collaborative learning through annotations and discussions. It encourages an environment of inquiry and community among students. NB addresses specific educational challenges by integrating features such as multi-layered visibility, real-time interactions, and …
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Statistical Limits and Efficient Algorithms for Learning-Enabled Control
As the use of large-scale learning for control continues to grow, the development of sample-efficient algorithms becomes increasingly critical. However, even in the simplest settings, we often do not know algorithms which achieve optimal sample complexity with respect to particular problem …
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A high school as an urban institution: an inward focus and an outward ambition
… the essential nature of a high school as a learning institution. Underlying the research and subsequent design proposal is an experimentation with locating a high school in an urban setting - a challenge to the reality that many high schools are located on a suburban campus, arranged as a …
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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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From bits to information : learning meets compressive sensing
A quantization approach to supervised learning, compressive sensing, and phase retrieval is presented in this thesis. We introduce a set of common techniques that allow us, in those three settings, to represent high dimensional data using the order statistics of linear and non linear measurements. …
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Random Features for Efficient Attention Approximation
… architectures in today's landscape of deep learning. They, however, do not scale well with long sequences, resulting in O(L^2) computational complexity for the sequence length L. In this thesis, we propose a holistic approach for reducing this complexity to linear O(L) via an unbiased …
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Selective algorithms for large-scale classification and structured learning
Made available in DSpace on 2015-07-22T22:17:14Z (GMT). No. of bitstreams: 2 CHANG-DISSERTATION-2015.pdf: 1718796 bytes, checksum: acb2f0fcac6237b94e5733d5534763cb (MD5) LICENSE.txt: 4210 bytes, checksum: 781f641005bc15b659d6f1cee238b5c2 (MD5) Previous issue date: 2015-04-23
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Affordances of Learning Analytics for Mediating Learning
Learning analytics acceptance and adoption is a socio-technological endeavour. Understanding how learning analytics impact practice is an important part of demonstrating their value. In the study presented in this thesis, "Mediated Learning" provides a framework through which to describe how …
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Big Data Algorithms for Visualization and Supervised Learning
… availability of data sets of unprecedented scales, with billions of high-dimensional data examples stored on hundreds of terabytes of memory. In order to make use of this large-scale data and extract useful knowledge, researchers in machine learning and data mining communities are faced with …