Global ETD Search
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Showing 1 to 7 of 7 for “"DL systems"”.
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Characterising Algorithm Debt in Machine and Deep Learning Systems
The integration of Machine and Deep Learning (ML/DL) into modern software systems has transformed application domains such as finance, healthcare, and autonomous technologies. However, the complexity of ML/DL algorithms, the unique development pipeline, and the stochastic training process introduce …
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Characterising Algorithm Debt in Machine and Deep Learning Systems
The integration of Machine and Deep Learning (ML/DL) into modern software systems has transformed application domains such as finance, healthcare, and autonomous technologies. However, the complexity of ML/DL algorithms, the unique development pipeline, and the stochastic training process introduce …
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Open Digital Libraries
Digital Libraries (DLs) are software systems specifically designed to assist users in information seeking activities. Stemming from the intersection of library sciences and computer networking, traditional DL systems impose library philosophies of structure and management on the sprawling …
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Practical Digital Library Generation into DSpace with the 5S Framework
… accessible manner. These digital library (DL) repositories are powerful systems that allow institutions to store their digital documents while permitting interaction and collaboration among users in their organizations. Despite the continual work on DL systems that can produce …
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Buckets: Smart Objects for Digital Libraries
<p>Discussion of digital libraries (DLs) is often dominated by the merits of various archives, repositories, search engines, search interfaces and database systems. While these technologies are necessary for information management, information content and information retrieval systems should …
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Scalability Analysis and Optimization for Large-Scale Deep Learning
… its growing importance, scalable deep learning (DL) remains a difficult challenge. Scalability of large-scale DL is constrained by many factors, including those deriving from data movement and data processing. DL frameworks rely on large volumes of data to be fed to the computation engines for …
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Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given …