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 4 of 4 for “"Machine Learning for Systems"”.
-
Strong and weak principles of Bayesian machine learning for systems neuroscience
… of behaviour, while also pushing the need for new techniques to analyse and model these large-scale datasets. Inspiration for such tools can be found in the Bayesian machine learning literature, which provides a set of principled techniques that allow us to perform inference in complex …
-
Learned String Index Structures for In-Memory Databases
Within the field of machine learning for systems, learning-based methods have brought new perspective to indexing by reframing it as a cumulative distribution function (CDF) modeling problem. The burgeoning field, despite its nascence, has brought with it many opportunities and efficiencies. …
-
A framework for intelligence augmented computing systems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
-
Design and implementation of learning-based storage systems: a holistic approach
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms